Paper/Paper.thy
changeset 2 a04084de4946
child 17 105715a0a807
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/Paper/Paper.thy	Thu Dec 06 15:12:49 2012 +0000
@@ -0,0 +1,1345 @@
+(*<*)
+theory Paper
+imports "../CpsG" "../ExtGG" "~~/src/HOL/Library/LaTeXsugar"
+begin
+
+(*
+find_unused_assms CpsG 
+find_unused_assms ExtGG 
+find_unused_assms Moment 
+find_unused_assms Precedence_ord 
+find_unused_assms PrioG 
+find_unused_assms PrioGDef
+*)
+
+ML {*
+  open Printer;
+  show_question_marks_default := false;
+  *}
+
+notation (latex output)
+  Cons ("_::_" [78,77] 73) and
+  vt ("valid'_state") and
+  runing ("running") and
+  birthtime ("last'_set") and
+  If  ("(\<^raw:\textrm{>if\<^raw:}> (_)/ \<^raw:\textrm{>then\<^raw:}> (_)/ \<^raw:\textrm{>else\<^raw:}> (_))" 10) and
+  Prc ("'(_, _')") and
+  holding ("holds") and
+  waiting ("waits") and
+  Th ("T") and
+  Cs ("C") and
+  readys ("ready") and
+  depend ("RAG") and 
+  preced ("prec") and
+  cpreced ("cprec") and
+  dependents ("dependants") and
+  cp ("cprec") and
+  holdents ("resources") and
+  original_priority ("priority") and
+  DUMMY  ("\<^raw:\mbox{$\_\!\_$}>")
+
+(*abbreviation
+ "detached s th \<equiv> cntP s th = cntV s th"
+*)
+(*>*)
+
+section {* Introduction *}
+
+text {*
+  Many real-time systems need to support threads involving priorities and
+  locking of resources. Locking of resources ensures mutual exclusion
+  when accessing shared data or devices that cannot be
+  preempted. Priorities allow scheduling of threads that need to
+  finish their work within deadlines.  Unfortunately, both features
+  can interact in subtle ways leading to a problem, called
+  \emph{Priority Inversion}. Suppose three threads having priorities
+  $H$(igh), $M$(edium) and $L$(ow). We would expect that the thread
+  $H$ blocks any other thread with lower priority and the thread itself cannot
+  be blocked indefinitely by threads with lower priority. Alas, in a naive
+  implementation of resource locking and priorities this property can
+  be violated. For this let $L$ be in the
+  possession of a lock for a resource that $H$ also needs. $H$ must
+  therefore wait for $L$ to exit the critical section and release this
+  lock. The problem is that $L$ might in turn be blocked by any
+  thread with priority $M$, and so $H$ sits there potentially waiting
+  indefinitely. Since $H$ is blocked by threads with lower
+  priorities, the problem is called Priority Inversion. It was first
+  described in \cite{Lampson80} in the context of the
+  Mesa programming language designed for concurrent programming.
+
+  If the problem of Priority Inversion is ignored, real-time systems
+  can become unpredictable and resulting bugs can be hard to diagnose.
+  The classic example where this happened is the software that
+  controlled the Mars Pathfinder mission in 1997 \cite{Reeves98}.
+  Once the spacecraft landed, the software shut down at irregular
+  intervals leading to loss of project time as normal operation of the
+  craft could only resume the next day (the mission and data already
+  collected were fortunately not lost, because of a clever system
+  design).  The reason for the shutdowns was that the scheduling
+  software fell victim to Priority Inversion: a low priority thread
+  locking a resource prevented a high priority thread from running in
+  time, leading to a system reset. Once the problem was found, it was
+  rectified by enabling the \emph{Priority Inheritance Protocol} (PIP)
+  \cite{Sha90}\footnote{Sha et al.~call it the \emph{Basic Priority
+  Inheritance Protocol} \cite{Sha90} and others sometimes also call it
+  \emph{Priority Boosting} or \emph{Priority Donation}.} in the scheduling software.
+
+  The idea behind PIP is to let the thread $L$ temporarily inherit
+  the high priority from $H$ until $L$ leaves the critical section
+  unlocking the resource. This solves the problem of $H$ having to
+  wait indefinitely, because $L$ cannot be blocked by threads having
+  priority $M$. While a few other solutions exist for the Priority
+  Inversion problem, PIP is one that is widely deployed and
+  implemented. This includes VxWorks (a proprietary real-time OS used
+  in the Mars Pathfinder mission, in Boeing's 787 Dreamliner, Honda's
+  ASIMO robot, etc.), but also the POSIX 1003.1c Standard realised for
+  example in libraries for FreeBSD, Solaris and Linux. 
+
+  One advantage of PIP is that increasing the priority of a thread
+  can be dynamically calculated by the scheduler. This is in contrast
+  to, for example, \emph{Priority Ceiling} \cite{Sha90}, another
+  solution to the Priority Inversion problem, which requires static
+  analysis of the program in order to prevent Priority
+  Inversion. However, there has also been strong criticism against
+  PIP. For instance, PIP cannot prevent deadlocks when lock
+  dependencies are circular, and also blocking times can be
+  substantial (more than just the duration of a critical section).
+  Though, most criticism against PIP centres around unreliable
+  implementations and PIP being too complicated and too inefficient.
+  For example, Yodaiken writes in \cite{Yodaiken02}:
+
+  \begin{quote}
+  \it{}``Priority inheritance is neither efficient nor reliable. Implementations
+  are either incomplete (and unreliable) or surprisingly complex and intrusive.''
+  \end{quote}
+
+  \noindent
+  He suggests avoiding PIP altogether by designing the system so that no 
+  priority inversion may happen in the first place. However, such ideal designs may 
+  not always be achievable in practice.
+
+  In our opinion, there is clearly a need for investigating correct
+  algorithms for PIP. A few specifications for PIP exist (in English)
+  and also a few high-level descriptions of implementations (e.g.~in
+  the textbook \cite[Section 5.6.5]{Vahalia96}), but they help little
+  with actual implementations. That this is a problem in practice is
+  proved by an email by Baker, who wrote on 13 July 2009 on the Linux
+  Kernel mailing list:
+
+  \begin{quote}
+  \it{}``I observed in the kernel code (to my disgust), the Linux PIP
+  implementation is a nightmare: extremely heavy weight, involving
+  maintenance of a full wait-for graph, and requiring updates for a
+  range of events, including priority changes and interruptions of
+  wait operations.''
+  \end{quote}
+
+  \noindent
+  The criticism by Yodaiken, Baker and others suggests another look
+  at PIP from a more abstract level (but still concrete enough
+  to inform an implementation), and makes PIP a good candidate for a
+  formal verification. An additional reason is that the original
+  presentation of PIP~\cite{Sha90}, despite being informally
+  ``proved'' correct, is actually \emph{flawed}. 
+
+  Yodaiken \cite{Yodaiken02} points to a subtlety that had been
+  overlooked in the informal proof by Sha et al. They specify in
+  \cite{Sha90} that after the thread (whose priority has been raised)
+  completes its critical section and releases the lock, it ``returns
+  to its original priority level.'' This leads them to believe that an
+  implementation of PIP is ``rather straightforward''~\cite{Sha90}.
+  Unfortunately, as Yodaiken points out, this behaviour is too
+  simplistic.  Consider the case where the low priority thread $L$
+  locks \emph{two} resources, and two high-priority threads $H$ and
+  $H'$ each wait for one of them.  If $L$ releases one resource
+  so that $H$, say, can proceed, then we still have Priority Inversion
+  with $H'$ (which waits for the other resource). The correct
+  behaviour for $L$ is to switch to the highest remaining priority of
+  the threads that it blocks. The advantage of formalising the
+  correctness of a high-level specification of PIP in a theorem prover
+  is that such issues clearly show up and cannot be overlooked as in
+  informal reasoning (since we have to analyse all possible behaviours
+  of threads, i.e.~\emph{traces}, that could possibly happen).\medskip
+
+  \noindent
+  {\bf Contributions:} There have been earlier formal investigations
+  into PIP \cite{Faria08,Jahier09,Wellings07}, but they employ model
+  checking techniques. This paper presents a formalised and
+  mechanically checked proof for the correctness of PIP (to our
+  knowledge the first one).  In contrast to model checking, our
+  formalisation provides insight into why PIP is correct and allows us
+  to prove stronger properties that, as we will show, can help with an
+  efficient implementation of PIP in the educational PINTOS operating
+  system \cite{PINTOS}.  For example, we found by ``playing'' with the
+  formalisation that the choice of the next thread to take over a lock
+  when a resource is released is irrelevant for PIP being correct---a
+  fact that has not been mentioned in the literature and not been used
+  in the reference implementation of PIP in PINTOS.  This fact, however, is important
+  for an efficient implementation of PIP, because we can give the lock
+  to the thread with the highest priority so that it terminates more
+  quickly.
+*}
+
+section {* Formal Model of the Priority Inheritance Protocol *}
+
+text {*
+  The Priority Inheritance Protocol, short PIP, is a scheduling
+  algorithm for a single-processor system.\footnote{We shall come back
+  later to the case of PIP on multi-processor systems.} 
+  Following good experience in earlier work \cite{Wang09},  
+  our model of PIP is based on Paulson's inductive approach to protocol
+  verification \cite{Paulson98}. In this approach a \emph{state} of a system is
+  given by a list of events that happened so far (with new events prepended to the list). 
+  \emph{Events} of PIP fall
+  into five categories defined as the datatype:
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \mbox{\begin{tabular}{r@ {\hspace{2mm}}c@ {\hspace{2mm}}l@ {\hspace{7mm}}l}
+  \isacommand{datatype} event 
+  & @{text "="} & @{term "Create thread priority"}\\
+  & @{text "|"} & @{term "Exit thread"} \\
+  & @{text "|"} & @{term "Set thread priority"} & {\rm reset of the priority for} @{text thread}\\
+  & @{text "|"} & @{term "P thread cs"} & {\rm request of resource} @{text "cs"} {\rm by} @{text "thread"}\\
+  & @{text "|"} & @{term "V thread cs"} & {\rm release of resource} @{text "cs"} {\rm by} @{text "thread"}
+  \end{tabular}}
+  \end{isabelle}
+
+  \noindent
+  whereby threads, priorities and (critical) resources are represented
+  as natural numbers. The event @{term Set} models the situation that
+  a thread obtains a new priority given by the programmer or
+  user (for example via the {\tt nice} utility under UNIX).  As in Paulson's work, we
+  need to define functions that allow us to make some observations
+  about states.  One, called @{term threads}, calculates the set of
+  ``live'' threads that we have seen so far:
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \mbox{\begin{tabular}{lcl}
+  @{thm (lhs) threads.simps(1)} & @{text "\<equiv>"} & 
+    @{thm (rhs) threads.simps(1)}\\
+  @{thm (lhs) threads.simps(2)[where thread="th"]} & @{text "\<equiv>"} & 
+    @{thm (rhs) threads.simps(2)[where thread="th"]}\\
+  @{thm (lhs) threads.simps(3)[where thread="th"]} & @{text "\<equiv>"} & 
+    @{thm (rhs) threads.simps(3)[where thread="th"]}\\
+  @{term "threads (DUMMY#s)"} & @{text "\<equiv>"} & @{term "threads s"}\\
+  \end{tabular}}
+  \end{isabelle}
+
+  \noindent
+  In this definition @{term "DUMMY # DUMMY"} stands for list-cons.
+  Another function calculates the priority for a thread @{text "th"}, which is 
+  defined as
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \mbox{\begin{tabular}{lcl}
+  @{thm (lhs) original_priority.simps(1)[where thread="th"]} & @{text "\<equiv>"} & 
+    @{thm (rhs) original_priority.simps(1)[where thread="th"]}\\
+  @{thm (lhs) original_priority.simps(2)[where thread="th" and thread'="th'"]} & @{text "\<equiv>"} & 
+    @{thm (rhs) original_priority.simps(2)[where thread="th" and thread'="th'"]}\\
+  @{thm (lhs) original_priority.simps(3)[where thread="th" and thread'="th'"]} & @{text "\<equiv>"} & 
+    @{thm (rhs) original_priority.simps(3)[where thread="th" and thread'="th'"]}\\
+  @{term "original_priority th (DUMMY#s)"} & @{text "\<equiv>"} & @{term "original_priority th s"}\\
+  \end{tabular}}
+  \end{isabelle}
+
+  \noindent
+  In this definition we set @{text 0} as the default priority for
+  threads that have not (yet) been created. The last function we need 
+  calculates the ``time'', or index, at which time a process had its 
+  priority last set.
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \mbox{\begin{tabular}{lcl}
+  @{thm (lhs) birthtime.simps(1)[where thread="th"]} & @{text "\<equiv>"} & 
+    @{thm (rhs) birthtime.simps(1)[where thread="th"]}\\
+  @{thm (lhs) birthtime.simps(2)[where thread="th" and thread'="th'"]} & @{text "\<equiv>"} & 
+    @{thm (rhs) birthtime.simps(2)[where thread="th" and thread'="th'"]}\\
+  @{thm (lhs) birthtime.simps(3)[where thread="th" and thread'="th'"]} & @{text "\<equiv>"} & 
+    @{thm (rhs) birthtime.simps(3)[where thread="th" and thread'="th'"]}\\
+  @{term "birthtime th (DUMMY#s)"} & @{text "\<equiv>"} & @{term "birthtime th s"}\\
+  \end{tabular}}
+  \end{isabelle}
+
+  \noindent
+  In this definition @{term "length s"} stands for the length of the list
+  of events @{text s}. Again the default value in this function is @{text 0}
+  for threads that have not been created yet. A \emph{precedence} of a thread @{text th} in a 
+  state @{text s} is the pair of natural numbers defined as
+  
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{thm preced_def[where thread="th"]}
+  \end{isabelle}
+
+  \noindent
+  The point of precedences is to schedule threads not according to priorities (because what should
+  we do in case two threads have the same priority), but according to precedences. 
+  Precedences allow us to always discriminate between two threads with equal priority by 
+  taking into account the time when the priority was last set. We order precedences so 
+  that threads with the same priority get a higher precedence if their priority has been 
+  set earlier, since for such threads it is more urgent to finish their work. In an implementation
+  this choice would translate to a quite natural FIFO-scheduling of processes with 
+  the same priority.
+
+  Next, we introduce the concept of \emph{waiting queues}. They are
+  lists of threads associated with every resource. The first thread in
+  this list (i.e.~the head, or short @{term hd}) is chosen to be the one 
+  that is in possession of the
+  ``lock'' of the corresponding resource. We model waiting queues as
+  functions, below abbreviated as @{text wq}. They take a resource as
+  argument and return a list of threads.  This allows us to define
+  when a thread \emph{holds}, respectively \emph{waits} for, a
+  resource @{text cs} given a waiting queue function @{text wq}.
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm cs_holding_def[where thread="th"]}\\
+  @{thm cs_waiting_def[where thread="th"]}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  In this definition we assume @{text "set"} converts a list into a set.
+  At the beginning, that is in the state where no thread is created yet, 
+  the waiting queue function will be the function that returns the
+  empty list for every resource.
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{abbrev all_unlocked}\hfill\numbered{allunlocked}
+  \end{isabelle}
+
+  \noindent
+  Using @{term "holding"} and @{term waiting}, we can introduce \emph{Resource Allocation Graphs} 
+  (RAG), which represent the dependencies between threads and resources.
+  We represent RAGs as relations using pairs of the form
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{term "(Th th, Cs cs)"} \hspace{5mm}{\rm and}\hspace{5mm}
+  @{term "(Cs cs, Th th)"}
+  \end{isabelle}
+
+  \noindent
+  where the first stands for a \emph{waiting edge} and the second for a 
+  \emph{holding edge} (@{term Cs} and @{term Th} are constructors of a 
+  datatype for vertices). Given a waiting queue function, a RAG is defined 
+  as the union of the sets of waiting and holding edges, namely
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{thm cs_depend_def}
+  \end{isabelle}
+
+  \noindent
+  Given four threads and three resources, an instance of a RAG can be pictured 
+  as follows:
+
+  \begin{center}
+  \newcommand{\fnt}{\fontsize{7}{8}\selectfont}
+  \begin{tikzpicture}[scale=1]
+  %%\draw[step=2mm] (-3,2) grid (1,-1);
+
+  \node (A) at (0,0) [draw, rounded corners=1mm, rectangle, very thick] {@{text "th\<^isub>0"}};
+  \node (B) at (2,0) [draw, circle, very thick, inner sep=0.4mm] {@{text "cs\<^isub>1"}};
+  \node (C) at (4,0.7) [draw, rounded corners=1mm, rectangle, very thick] {@{text "th\<^isub>1"}};
+  \node (D) at (4,-0.7) [draw, rounded corners=1mm, rectangle, very thick] {@{text "th\<^isub>2"}};
+  \node (E) at (6,-0.7) [draw, circle, very thick, inner sep=0.4mm] {@{text "cs\<^isub>2"}};
+  \node (E1) at (6, 0.2) [draw, circle, very thick, inner sep=0.4mm] {@{text "cs\<^isub>3"}};
+  \node (F) at (8,-0.7) [draw, rounded corners=1mm, rectangle, very thick] {@{text "th\<^isub>3"}};
+
+  \draw [<-,line width=0.6mm] (A) to node [pos=0.54,sloped,above=-0.5mm] {\fnt{}holding}  (B);
+  \draw [->,line width=0.6mm] (C) to node [pos=0.4,sloped,above=-0.5mm] {\fnt{}waiting}  (B);
+  \draw [->,line width=0.6mm] (D) to node [pos=0.4,sloped,below=-0.5mm] {\fnt{}waiting}  (B);
+  \draw [<-,line width=0.6mm] (D) to node [pos=0.54,sloped,below=-0.5mm] {\fnt{}holding}  (E);
+  \draw [<-,line width=0.6mm] (D) to node [pos=0.54,sloped,above=-0.5mm] {\fnt{}holding}  (E1);
+  \draw [->,line width=0.6mm] (F) to node [pos=0.45,sloped,below=-0.5mm] {\fnt{}waiting}  (E);
+  \end{tikzpicture}
+  \end{center}
+
+  \noindent
+  The use of relations for representing RAGs allows us to conveniently define
+  the notion of the \emph{dependants} of a thread using the transitive closure
+  operation for relations. This gives
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{thm cs_dependents_def}
+  \end{isabelle}
+
+  \noindent
+  This definition needs to account for all threads that wait for a thread to
+  release a resource. This means we need to include threads that transitively
+  wait for a resource being released (in the picture above this means the dependants
+  of @{text "th\<^isub>0"} are @{text "th\<^isub>1"} and @{text "th\<^isub>2"}, which wait for resource @{text "cs\<^isub>1"}, 
+  but also @{text "th\<^isub>3"}, 
+  which cannot make any progress unless @{text "th\<^isub>2"} makes progress, which
+  in turn needs to wait for @{text "th\<^isub>0"} to finish). If there is a circle of dependencies 
+  in a RAG, then clearly
+  we have a deadlock. Therefore when a thread requests a resource,
+  we must ensure that the resulting RAG is not circular. In practice, the 
+  programmer has to ensure this.
+
+
+  Next we introduce the notion of the \emph{current precedence} of a thread @{text th} in a 
+  state @{text s}. It is defined as
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{thm cpreced_def2}\hfill\numbered{cpreced}
+  \end{isabelle}
+
+  \noindent
+  where the dependants of @{text th} are given by the waiting queue function.
+  While the precedence @{term prec} of a thread is determined statically 
+  (for example when the thread is
+  created), the point of the current precedence is to let the scheduler increase this
+  precedence, if needed according to PIP. Therefore the current precedence of @{text th} is
+  given as the maximum of the precedence @{text th} has in state @{text s} \emph{and} all 
+  threads that are dependants of @{text th}. Since the notion @{term "dependants"} is
+  defined as the transitive closure of all dependent threads, we deal correctly with the 
+  problem in the informal algorithm by Sha et al.~\cite{Sha90} where a priority of a thread is
+  lowered prematurely.
+  
+  The next function, called @{term schs}, defines the behaviour of the scheduler. It will be defined
+  by recursion on the state (a list of events); this function returns a \emph{schedule state}, which 
+  we represent as a record consisting of two
+  functions:
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{text "\<lparr>wq_fun, cprec_fun\<rparr>"}
+  \end{isabelle}
+
+  \noindent
+  The first function is a waiting queue function (that is, it takes a
+  resource @{text "cs"} and returns the corresponding list of threads
+  that lock, respectively wait for, it); the second is a function that
+  takes a thread and returns its current precedence (see
+  the definition in \eqref{cpreced}). We assume the usual getter and setter methods for
+  such records.
+
+  In the initial state, the scheduler starts with all resources unlocked (the corresponding 
+  function is defined in \eqref{allunlocked}) and the
+  current precedence of every thread is initialised with @{term "Prc 0 0"}; that means 
+  \mbox{@{abbrev initial_cprec}}. Therefore
+  we have for the initial shedule state
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm (lhs) schs.simps(1)} @{text "\<equiv>"}\\ 
+  \hspace{5mm}@{term "(|wq_fun = all_unlocked, cprec_fun = (\<lambda>_::thread. Prc 0 0)|)"}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  The cases for @{term Create}, @{term Exit} and @{term Set} are also straightforward:
+  we calculate the waiting queue function of the (previous) state @{text s}; 
+  this waiting queue function @{text wq} is unchanged in the next schedule state---because
+  none of these events lock or release any resource; 
+  for calculating the next @{term "cprec_fun"}, we use @{text wq} and 
+  @{term cpreced}. This gives the following three clauses for @{term schs}:
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm (lhs) schs.simps(2)} @{text "\<equiv>"}\\ 
+  \hspace{5mm}@{text "let"} @{text "wq = wq_fun (schs s)"} @{text "in"}\\
+  \hspace{8mm}@{term "(|wq_fun = wq\<iota>, cprec_fun = cpreced wq\<iota> (Create th prio # s)|)"}\smallskip\\
+  @{thm (lhs) schs.simps(3)} @{text "\<equiv>"}\\
+  \hspace{5mm}@{text "let"} @{text "wq = wq_fun (schs s)"} @{text "in"}\\
+  \hspace{8mm}@{term "(|wq_fun = wq\<iota>, cprec_fun = cpreced wq\<iota> (Exit th # s)|)"}\smallskip\\
+  @{thm (lhs) schs.simps(4)} @{text "\<equiv>"}\\ 
+  \hspace{5mm}@{text "let"} @{text "wq = wq_fun (schs s)"} @{text "in"}\\
+  \hspace{8mm}@{term "(|wq_fun = wq\<iota>, cprec_fun = cpreced wq\<iota> (Set th prio # s)|)"}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent 
+  More interesting are the cases where a resource, say @{text cs}, is locked or released. In these cases
+  we need to calculate a new waiting queue function. For the event @{term "P th cs"}, we have to update
+  the function so that the new thread list for @{text cs} is the old thread list plus the thread @{text th} 
+  appended to the end of that list (remember the head of this list is assigned to be in the possession of this
+  resource). This gives the clause
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm (lhs) schs.simps(5)} @{text "\<equiv>"}\\ 
+  \hspace{5mm}@{text "let"} @{text "wq = wq_fun (schs s)"} @{text "in"}\\
+  \hspace{5mm}@{text "let"} @{text "new_wq = wq(cs := (wq cs @ [th]))"} @{text "in"}\\
+  \hspace{8mm}@{term "(|wq_fun = new_wq, cprec_fun = cpreced new_wq (P th cs # s)|)"}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  The clause for event @{term "V th cs"} is similar, except that we need to update the waiting queue function
+  so that the thread that possessed the lock is deleted from the corresponding thread list. For this 
+  list transformation, we use
+  the auxiliary function @{term release}. A simple version of @{term release} would
+  just delete this thread and return the remaining threads, namely
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}lcl}
+  @{term "release []"} & @{text "\<equiv>"} & @{term "[]"}\\
+  @{term "release (DUMMY # qs)"} & @{text "\<equiv>"} & @{term "qs"}\\
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  In practice, however, often the thread with the highest precedence in the list will get the
+  lock next. We have implemented this choice, but later found out that the choice 
+  of which thread is chosen next is actually irrelevant for the correctness of PIP.
+  Therefore we prove the stronger result where @{term release} is defined as
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}lcl}
+  @{term "release []"} & @{text "\<equiv>"} & @{term "[]"}\\
+  @{term "release (DUMMY # qs)"} & @{text "\<equiv>"} & @{term "SOME qs'. distinct qs' \<and> set qs' = set qs"}\\
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  where @{text "SOME"} stands for Hilbert's epsilon and implements an arbitrary
+  choice for the next waiting list. It just has to be a list of distinctive threads and
+  contain the same elements as @{text "qs"}. This gives for @{term V} the clause:
+ 
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm (lhs) schs.simps(6)} @{text "\<equiv>"}\\
+  \hspace{5mm}@{text "let"} @{text "wq = wq_fun (schs s)"} @{text "in"}\\
+  \hspace{5mm}@{text "let"} @{text "new_wq = release (wq cs)"} @{text "in"}\\
+  \hspace{8mm}@{term "(|wq_fun = new_wq, cprec_fun = cpreced new_wq (V th cs # s)|)"}
+  \end{tabular}
+  \end{isabelle}
+
+  Having the scheduler function @{term schs} at our disposal, we can ``lift'', or
+  overload, the notions
+  @{term waiting}, @{term holding}, @{term depend} and @{term cp} to operate on states only.
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}rcl}
+  @{thm (lhs) s_holding_abv} & @{text "\<equiv>"} & @{thm (rhs) s_holding_abv}\\
+  @{thm (lhs) s_waiting_abv} & @{text "\<equiv>"} & @{thm (rhs) s_waiting_abv}\\
+  @{thm (lhs) s_depend_abv}  & @{text "\<equiv>"} & @{thm (rhs) s_depend_abv}\\
+  @{thm (lhs) cp_def}        & @{text "\<equiv>"} & @{thm (rhs) cp_def}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  With these abbreviations in place we can introduce 
+  the notion of a thread being @{term ready} in a state (i.e.~threads
+  that do not wait for any resource) and the running thread.
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm readys_def}\\
+  @{thm runing_def}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  In the second definition @{term "DUMMY ` DUMMY"} stands for the image of a set under a function.
+  Note that in the initial state, that is where the list of events is empty, the set 
+  @{term threads} is empty and therefore there is neither a thread ready nor running.
+  If there is one or more threads ready, then there can only be \emph{one} thread
+  running, namely the one whose current precedence is equal to the maximum of all ready 
+  threads. We use sets to capture both possibilities.
+  We can now also conveniently define the set of resources that are locked by a thread in a
+  given state and also when a thread is detached that state (meaning the thread neither 
+  holds nor waits for a resource):
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm holdents_def}\\
+  @{thm detached_def}
+  \end{tabular}
+  \end{isabelle}
+
+  %\noindent
+  %The second definition states that @{text th}  in @{text s}.
+  
+  Finally we can define what a \emph{valid state} is in our model of PIP. For
+  example we cannot expect to be able to exit a thread, if it was not
+  created yet. 
+  These validity constraints on states are characterised by the
+  inductive predicate @{term "step"} and @{term vt}. We first give five inference rules
+  for @{term step} relating a state and an event that can happen next.
+
+  \begin{center}
+  \begin{tabular}{c}
+  @{thm[mode=Rule] thread_create[where thread=th]}\hspace{1cm}
+  @{thm[mode=Rule] thread_exit[where thread=th]}
+  \end{tabular}
+  \end{center}
+
+  \noindent
+  The first rule states that a thread can only be created, if it is not alive yet.
+  Similarly, the second rule states that a thread can only be terminated if it was
+  running and does not lock any resources anymore (this simplifies slightly our model;
+  in practice we would expect the operating system releases all locks held by a
+  thread that is about to exit). The event @{text Set} can happen
+  if the corresponding thread is running. 
+
+  \begin{center}
+  @{thm[mode=Rule] thread_set[where thread=th]}
+  \end{center}
+
+  \noindent
+  If a thread wants to lock a resource, then the thread needs to be
+  running and also we have to make sure that the resource lock does
+  not lead to a cycle in the RAG. In practice, ensuring the latter
+  is the responsibility of the programmer.  In our formal
+  model we brush aside these problematic cases in order to be able to make
+  some meaningful statements about PIP.\footnote{This situation is
+  similar to the infamous \emph{occurs check} in Prolog: In order to say
+  anything meaningful about unification, one needs to perform an occurs
+  check. But in practice the occurs check is omitted and the
+  responsibility for avoiding problems rests with the programmer.}
+
+ 
+  \begin{center}
+  @{thm[mode=Rule] thread_P[where thread=th]}
+  \end{center}
+ 
+  \noindent
+  Similarly, if a thread wants to release a lock on a resource, then
+  it must be running and in the possession of that lock. This is
+  formally given by the last inference rule of @{term step}.
+ 
+  \begin{center}
+  @{thm[mode=Rule] thread_V[where thread=th]}
+  \end{center}
+
+  \noindent
+  A valid state of PIP can then be conveniently be defined as follows:
+
+  \begin{center}
+  \begin{tabular}{c}
+  @{thm[mode=Axiom] vt_nil}\hspace{1cm}
+  @{thm[mode=Rule] vt_cons}
+  \end{tabular}
+  \end{center}
+
+  \noindent
+  This completes our formal model of PIP. In the next section we present
+  properties that show our model of PIP is correct.
+*}
+
+section {* The Correctness Proof *}
+
+(*<*)
+context extend_highest_gen
+begin
+(*>*)
+text {* 
+  Sha et al.~state their first correctness criterion for PIP in terms
+  of the number of low-priority threads \cite[Theorem 3]{Sha90}: if
+  there are @{text n} low-priority threads, then a blocked job with
+  high priority can only be blocked a maximum of @{text n} times.
+  Their second correctness criterion is given
+  in terms of the number of critical resources \cite[Theorem 6]{Sha90}: if there are
+  @{text m} critical resources, then a blocked job with high priority
+  can only be blocked a maximum of @{text m} times. Both results on their own, strictly speaking, do
+  \emph{not} prevent indefinite, or unbounded, Priority Inversion,
+  because if a low-priority thread does not give up its critical
+  resource (the one the high-priority thread is waiting for), then the
+  high-priority thread can never run.  The argument of Sha et al.~is
+  that \emph{if} threads release locked resources in a finite amount
+  of time, then indefinite Priority Inversion cannot occur---the high-priority
+  thread is guaranteed to run eventually. The assumption is that
+  programmers must ensure that threads are programmed in this way.  However, even
+  taking this assumption into account, the correctness properties of
+  Sha et al.~are
+  \emph{not} true for their version of PIP---despite being ``proved''. As Yodaiken
+  \cite{Yodaiken02} pointed out: If a low-priority thread possesses
+  locks to two resources for which two high-priority threads are
+  waiting for, then lowering the priority prematurely after giving up
+  only one lock, can cause indefinite Priority Inversion for one of the
+  high-priority threads, invalidating their two bounds.
+
+  Even when fixed, their proof idea does not seem to go through for
+  us, because of the way we have set up our formal model of PIP.  One
+  reason is that we allow critical sections, which start with a @{text P}-event
+  and finish with a corresponding @{text V}-event, to arbitrarily overlap
+  (something Sha et al.~explicitly exclude).  Therefore we have
+  designed a different correctness criterion for PIP. The idea behind
+  our criterion is as follows: for all states @{text s}, we know the
+  corresponding thread @{text th} with the highest precedence; we show
+  that in every future state (denoted by @{text "s' @ s"}) in which
+  @{text th} is still alive, either @{text th} is running or it is
+  blocked by a thread that was alive in the state @{text s} and was waiting 
+  for or in the possession of a lock in @{text s}. Since in @{text s}, as in
+  every state, the set of alive threads is finite, @{text th} can only
+  be blocked a finite number of times. This is independent of how many
+  threads of lower priority are created in @{text "s'"}. We will actually prove a
+  stronger statement where we also provide the current precedence of
+  the blocking thread. However, this correctness criterion hinges upon
+  a number of assumptions about the states @{text s} and @{text "s' @
+  s"}, the thread @{text th} and the events happening in @{text
+  s'}. We list them next:
+
+  \begin{quote}
+  {\bf Assumptions on the states {\boldmath@{text s}} and 
+  {\boldmath@{text "s' @ s"}:}} We need to require that @{text "s"} and 
+  @{text "s' @ s"} are valid states:
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{l}
+  @{term "vt s"}, @{term "vt (s' @ s)"} 
+  \end{tabular}
+  \end{isabelle}
+  \end{quote}
+
+  \begin{quote}
+  {\bf Assumptions on the thread {\boldmath@{text "th"}:}} 
+  The thread @{text th} must be alive in @{text s} and 
+  has the highest precedence of all alive threads in @{text s}. Furthermore the
+  priority of @{text th} is @{text prio} (we need this in the next assumptions).
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{l}
+  @{term "th \<in> threads s"}\\
+  @{term "prec th s = Max (cprec s ` threads s)"}\\
+  @{term "prec th s = (prio, DUMMY)"}
+  \end{tabular}
+  \end{isabelle}
+  \end{quote}
+  
+  \begin{quote}
+  {\bf Assumptions on the events in {\boldmath@{text "s'"}:}} We want to prove that @{text th} cannot
+  be blocked indefinitely. Of course this can happen if threads with higher priority
+  than @{text th} are continuously created in @{text s'}. Therefore we have to assume that  
+  events in @{text s'} can only create (respectively set) threads with equal or lower 
+  priority than @{text prio} of @{text th}. We also need to assume that the
+  priority of @{text "th"} does not get reset and also that @{text th} does
+  not get ``exited'' in @{text "s'"}. This can be ensured by assuming the following three implications. 
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{l}
+  {If}~~@{text "Create th' prio' \<in> set s'"}~~{then}~~@{text "prio' \<le> prio"}\\
+  {If}~~@{text "Set th' prio' \<in> set s'"}~~{then}~~@{text "th' \<noteq> th"}~~{and}~~@{text "prio' \<le> prio"}\\
+  {If}~~@{text "Exit th' \<in> set s'"}~~{then}~~@{text "th' \<noteq> th"}\\
+  \end{tabular}
+  \end{isabelle}
+  \end{quote}
+
+  \noindent
+  The locale mechanism of Isabelle helps us to manage conveniently such assumptions~\cite{Haftmann08}.
+  Under these assumptions we shall prove the following correctness property:
+
+  \begin{theorem}\label{mainthm}
+  Given the assumptions about states @{text "s"} and @{text "s' @ s"},
+  the thread @{text th} and the events in @{text "s'"},
+  if @{term "th' \<in> running (s' @ s)"} and @{text "th' \<noteq> th"} then
+  @{text "th' \<in> threads s"}, @{text "\<not> detached s th'"} and 
+  @{term "cp (s' @ s) th' = prec th s"}.
+  \end{theorem}
+
+  \noindent
+  This theorem ensures that the thread @{text th}, which has the
+  highest precedence in the state @{text s}, can only be blocked in
+  the state @{text "s' @ s"} by a thread @{text th'} that already
+  existed in @{text s} and requested or had a lock on at least 
+  one resource---that means the thread was not \emph{detached} in @{text s}. 
+  As we shall see shortly, that means there are only finitely 
+  many threads that can block @{text th} in this way and then they 
+  need to run with the same current precedence as @{text th}.
+
+  Like in the argument by Sha et al.~our
+  finite bound does not guarantee absence of indefinite Priority
+  Inversion. For this we further have to assume that every thread
+  gives up its resources after a finite amount of time. We found that
+  this assumption is awkward to formalise in our model. Therefore we
+  leave it out and let the programmer assume the responsibility to
+  program threads in such a benign manner (in addition to causing no 
+  circularity in the @{text RAG}). In this detail, we do not
+  make any progress in comparison with the work by Sha et al.
+  However, we are able to combine their two separate bounds into a
+  single theorem improving their bound.
+
+  In what follows we will describe properties of PIP that allow us to prove 
+  Theorem~\ref{mainthm} and, when instructive, briefly describe our argument. 
+  It is relatively easy to see that
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{text "running s \<subseteq> ready s \<subseteq> threads s"}\\
+  @{thm[mode=IfThen]  finite_threads}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  The second property is by induction of @{term vt}. The next three
+  properties are 
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm[mode=IfThen] waiting_unique[of _ _ "cs\<^isub>1" "cs\<^isub>2"]}\\
+  @{thm[mode=IfThen] held_unique[of _ "th\<^isub>1" _ "th\<^isub>2"]}\\
+  @{thm[mode=IfThen] runing_unique[of _ "th\<^isub>1" "th\<^isub>2"]}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  The first property states that every waiting thread can only wait for a single
+  resource (because it gets suspended after requesting that resource); the second 
+  that every resource can only be held by a single thread; 
+  the third property establishes that in every given valid state, there is
+  at most one running thread. We can also show the following properties 
+  about the @{term RAG} in @{text "s"}.
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{text If}~@{thm (prem 1) acyclic_depend}~@{text "then"}:\\
+  \hspace{5mm}@{thm (concl) acyclic_depend},
+  @{thm (concl) finite_depend} and
+  @{thm (concl) wf_dep_converse},\\
+  \hspace{5mm}@{text "if"}~@{thm (prem 2) dm_depend_threads}~@{text "then"}~@{thm (concl) dm_depend_threads}
+  and\\
+  \hspace{5mm}@{text "if"}~@{thm (prem 2) range_in}~@{text "then"}~@{thm (concl) range_in}.
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  The acyclicity property follows from how we restricted the events in
+  @{text step}; similarly the finiteness and well-foundedness property.
+  The last two properties establish that every thread in a @{text "RAG"}
+  (either holding or waiting for a resource) is a live thread.
+
+  The key lemma in our proof of Theorem~\ref{mainthm} is as follows:
+
+  \begin{lemma}\label{mainlem}
+  Given the assumptions about states @{text "s"} and @{text "s' @ s"},
+  the thread @{text th} and the events in @{text "s'"},
+  if @{term "th' \<in> threads (s' @ s)"}, @{text "th' \<noteq> th"} and @{text "detached (s' @ s) th'"}\\
+  then @{text "th' \<notin> running (s' @ s)"}.
+  \end{lemma}
+
+  \noindent
+  The point of this lemma is that a thread different from @{text th} (which has the highest
+  precedence in @{text s}) and not holding any resource, cannot be running 
+  in the state @{text "s' @ s"}.
+
+  \begin{proof}
+  Since thread @{text "th'"} does not hold any resource, no thread can depend on it. 
+  Therefore its current precedence @{term "cp (s' @ s) th'"} equals its own precedence
+  @{term "prec th' (s' @ s)"}. Since @{text "th"} has the highest precedence in the 
+  state @{text "(s' @ s)"} and precedences are distinct among threads, we have
+  @{term "prec th' (s' @s ) < prec th (s' @ s)"}. From this 
+  we have @{term "cp (s' @ s) th' < prec th (s' @ s)"}.
+  Since @{text "prec th (s' @ s)"} is already the highest 
+  @{term "cp (s' @ s) th"} can not be higher than this and can not be lower either (by 
+  definition of @{term "cp"}). Consequently, we have @{term "prec th (s' @ s) = cp (s' @ s) th"}.
+  Finally we have @{term "cp (s' @ s) th' < cp (s' @ s) th"}.
+  By defintion of @{text "running"}, @{text "th'"} can not be running in state
+  @{text "s' @ s"}, as we had to show.\qed
+  \end{proof}
+
+  \noindent
+  Since @{text "th'"} is not able to run in state @{text "s' @ s"}, it is not able to 
+  issue a @{text "P"} or @{text "V"} event. Therefore if @{text "s' @ s"} is extended
+  one step further, @{text "th'"} still cannot hold any resource. The situation will 
+  not change in further extensions as long as @{text "th"} holds the highest precedence.
+
+  From this lemma we can deduce Theorem~\ref{mainthm}: that @{text th} can only be 
+  blocked by a thread @{text th'} that
+  held some resource in state @{text s} (that is not @{text "detached"}). And furthermore
+  that the current precedence of @{text th'} in state @{text "(s' @ s)"} must be equal to the 
+  precedence of @{text th} in @{text "s"}.
+  We show this theorem by induction on @{text "s'"} using Lemma~\ref{mainlem}.
+  This theorem gives a stricter bound on the threads that can block @{text th} than the
+  one obtained by Sha et al.~\cite{Sha90}:
+  only threads that were alive in state @{text s} and moreover held a resource.
+  This means our bound is in terms of both---alive threads in state @{text s}
+  and number of critical resources. Finally, the theorem establishes that the blocking threads have the
+  current precedence raised to the precedence of @{text th}.
+
+  We can furthermore prove that under our assumptions no deadlock exists in the state @{text "s' @ s"}
+  by showing that @{text "running (s' @ s)"} is not empty.
+
+  \begin{lemma}
+  Given the assumptions about states @{text "s"} and @{text "s' @ s"},
+  the thread @{text th} and the events in @{text "s'"},
+  @{term "running (s' @ s) \<noteq> {}"}.
+  \end{lemma}
+
+  \begin{proof}
+  If @{text th} is blocked, then by following its dependants graph, we can always 
+  reach a ready thread @{text th'}, and that thread must have inherited the 
+  precedence of @{text th}.\qed
+  \end{proof}
+
+
+  %The following lemmas show how every node in RAG can be chased to ready threads:
+  %\begin{enumerate}
+  %\item Every node in RAG can be chased to a ready thread (@{text "chain_building"}):
+  %  @   {thm [display] chain_building[rule_format]}
+  %\item The ready thread chased to is unique (@{text "dchain_unique"}):
+  %  @   {thm [display] dchain_unique[of _ _ "th\<^isub>1" "th\<^isub>2"]}
+  %\end{enumerate}
+
+  %Some deeper results about the system:
+  %\begin{enumerate}
+  %\item The maximum of @{term "cp"} and @{term "preced"} are equal (@{text "max_cp_eq"}):
+  %@  {thm [display] max_cp_eq}
+  %\item There must be one ready thread having the max @{term "cp"}-value 
+  %(@{text "max_cp_readys_threads"}):
+  %@  {thm [display] max_cp_readys_threads}
+  %\end{enumerate}
+
+  %The relationship between the count of @{text "P"} and @{text "V"} and the number of 
+  %critical resources held by a thread is given as follows:
+  %\begin{enumerate}
+  %\item The @{term "V"}-operation decreases the number of critical resources 
+  %  one thread holds (@{text "cntCS_v_dec"})
+  %   @  {thm [display]  cntCS_v_dec}
+  %\item The number of @{text "V"} never exceeds the number of @{text "P"} 
+  %  (@  {text "cnp_cnv_cncs"}):
+  %  @  {thm [display]  cnp_cnv_cncs}
+  %\item The number of @{text "V"} equals the number of @{text "P"} when 
+  %  the relevant thread is not living:
+  %  (@{text "cnp_cnv_eq"}):
+  %  @  {thm [display]  cnp_cnv_eq}
+  %\item When a thread is not living, it does not hold any critical resource 
+  %  (@{text "not_thread_holdents"}):
+  %  @  {thm [display] not_thread_holdents}
+  %\item When the number of @{text "P"} equals the number of @{text "V"}, the relevant 
+  %  thread does not hold any critical resource, therefore no thread can depend on it
+  %  (@{text "count_eq_dependents"}):
+  %  @  {thm [display] count_eq_dependents}
+  %\end{enumerate}
+
+  %The reason that only threads which already held some resoures
+  %can be runing and block @{text "th"} is that if , otherwise, one thread 
+  %does not hold any resource, it may never have its prioirty raised
+  %and will not get a chance to run. This fact is supported by 
+  %lemma @{text "moment_blocked"}:
+  %@   {thm [display] moment_blocked}
+  %When instantiating  @{text "i"} to @{text "0"}, the lemma means threads which did not hold any
+  %resource in state @{text "s"} will not have a change to run latter. Rephrased, it means 
+  %any thread which is running after @{text "th"} became the highest must have already held
+  %some resource at state @{text "s"}.
+
+
+  %When instantiating @{text "i"} to a number larger than @{text "0"}, the lemma means 
+  %if a thread releases all its resources at some moment in @{text "t"}, after that, 
+  %it may never get a change to run. If every thread releases its resource in finite duration,
+  %then after a while, only thread @{text "th"} is left running. This shows how indefinite 
+  %priority inversion can be avoided. 
+
+  %All these assumptions are put into a predicate @{term "extend_highest_gen"}. 
+  %It can be proved that @{term "extend_highest_gen"} holds 
+  %for any moment @{text "i"} in it @{term "t"} (@{text "red_moment"}):
+  %@   {thm [display] red_moment}
+  
+  %From this, an induction principle can be derived for @{text "t"}, so that 
+  %properties already derived for @{term "t"} can be applied to any prefix 
+  %of @{text "t"} in the proof of new properties 
+  %about @{term "t"} (@{text "ind"}):
+  %\begin{center}
+  %@   {thm[display] ind}
+  %\end{center}
+
+  %The following properties can be proved about @{term "th"} in @{term "t"}:
+  %\begin{enumerate}
+  %\item In @{term "t"}, thread @{term "th"} is kept live and its 
+  %  precedence is preserved as well
+  %  (@{text "th_kept"}): 
+  %  @   {thm [display] th_kept}
+  %\item In @{term "t"}, thread @{term "th"}'s precedence is always the maximum among 
+  %  all living threads
+  %  (@{text "max_preced"}): 
+  %  @   {thm [display] max_preced}
+  %\item In @{term "t"}, thread @{term "th"}'s current precedence is always the maximum precedence
+  %  among all living threads
+  %  (@{text "th_cp_max_preced"}): 
+  %  @   {thm [display] th_cp_max_preced}
+  %\item In @{term "t"}, thread @{term "th"}'s current precedence is always the maximum current 
+  %  precedence among all living threads
+  %  (@{text "th_cp_max"}): 
+  %  @   {thm [display] th_cp_max}
+  %\item In @{term "t"}, thread @{term "th"}'s current precedence equals its precedence at moment 
+  %  @{term "s"}
+  %  (@{text "th_cp_preced"}): 
+  %  @   {thm [display] th_cp_preced}
+  %\end{enumerate}
+
+  %The main theorem of this part is to characterizing the running thread during @{term "t"} 
+  %(@{text "runing_inversion_2"}):
+  %@   {thm [display] runing_inversion_2}
+  %According to this, if a thread is running, it is either @{term "th"} or was
+  %already live and held some resource 
+  %at moment @{text "s"} (expressed by: @{text "cntV s th' < cntP s th'"}).
+
+  %Since there are only finite many threads live and holding some resource at any moment,
+  %if every such thread can release all its resources in finite duration, then after finite
+  %duration, none of them may block @{term "th"} anymore. So, no priority inversion may happen
+  %then.
+  *}
+(*<*)
+end
+(*>*)
+
+section {* Properties for an Implementation\label{implement} *}
+
+text {*
+  While our formalised proof gives us confidence about the correctness of our model of PIP, 
+  we found that the formalisation can even help us with efficiently implementing it.
+
+  For example Baker complained that calculating the current precedence
+  in PIP is quite ``heavy weight'' in Linux (see the Introduction).
+  In our model of PIP the current precedence of a thread in a state @{text s}
+  depends on all its dependants---a ``global'' transitive notion,
+  which is indeed heavy weight (see Def.~shown in \eqref{cpreced}).
+  We can however improve upon this. For this let us define the notion
+  of @{term children} of a thread @{text th} in a state @{text s} as
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm children_def2}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  where a child is a thread that is only one ``hop'' away from the thread
+  @{text th} in the @{term RAG} (and waiting for @{text th} to release
+  a resource). We can prove the following lemma.
+
+  \begin{lemma}\label{childrenlem}
+  @{text "If"} @{thm (prem 1) cp_rec} @{text "then"}
+  \begin{center}
+  @{thm (concl) cp_rec}.
+  \end{center}
+  \end{lemma}
+  
+  \noindent
+  That means the current precedence of a thread @{text th} can be
+  computed locally by considering only the children of @{text th}. In
+  effect, it only needs to be recomputed for @{text th} when one of
+  its children changes its current precedence.  Once the current 
+  precedence is computed in this more efficient manner, the selection
+  of the thread with highest precedence from a set of ready threads is
+  a standard scheduling operation implemented in most operating
+  systems.
+
+  Of course the main work for implementing PIP involves the
+  scheduler and coding how it should react to events.  Below we
+  outline how our formalisation guides this implementation for each
+  kind of events.\smallskip
+*}
+
+(*<*)
+context step_create_cps
+begin
+(*>*)
+text {*
+  \noindent
+  \colorbox{mygrey}{@{term "Create th prio"}:} We assume that the current state @{text s'} and 
+  the next state @{term "s \<equiv> Create th prio#s'"} are both valid (meaning the event
+  is allowed to occur). In this situation we can show that
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm eq_dep},\\
+  @{thm eq_cp_th}, and\\
+  @{thm[mode=IfThen] eq_cp}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  This means in an implementation we do not have recalculate the @{text RAG} and also none of the
+  current precedences of the other threads. The current precedence of the created
+  thread @{text th} is just its precedence, namely the pair @{term "(prio, length (s::event list))"}.
+  \smallskip
+  *}
+(*<*)
+end
+context step_exit_cps
+begin
+(*>*)
+text {*
+  \noindent
+  \colorbox{mygrey}{@{term "Exit th"}:} We again assume that the current state @{text s'} and 
+  the next state @{term "s \<equiv> Exit th#s'"} are both valid. We can show that
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm eq_dep}, and\\
+  @{thm[mode=IfThen] eq_cp}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  This means again we do not have to recalculate the @{text RAG} and
+  also not the current precedences for the other threads. Since @{term th} is not
+  alive anymore in state @{term "s"}, there is no need to calculate its
+  current precedence.
+  \smallskip
+*}
+(*<*)
+end
+context step_set_cps
+begin
+(*>*)
+text {*
+  \noindent
+  \colorbox{mygrey}{@{term "Set th prio"}:} We assume that @{text s'} and 
+  @{term "s \<equiv> Set th prio#s'"} are both valid. We can show that
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm[mode=IfThen] eq_dep}, and\\
+  @{thm[mode=IfThen] eq_cp_pre}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  The first property is again telling us we do not need to change the @{text RAG}. 
+  The second shows that the @{term cp}-values of all threads other than @{text th} 
+  are unchanged. The reason is that @{text th} is running; therefore it is not in 
+  the @{term dependants} relation of any other thread. This in turn means that the 
+  change of its priority cannot affect other threads.
+
+  %The second
+  %however states that only threads that are \emph{not} dependants of @{text th} have their
+  %current precedence unchanged. For the others we have to recalculate the current
+  %precedence. To do this we can start from @{term "th"} 
+  %and follow the @{term "depend"}-edges to recompute  using Lemma~\ref{childrenlem} 
+  %the @{term "cp"} of every 
+  %thread encountered on the way. Since the @{term "depend"}
+  %is assumed to be loop free, this procedure will always stop. The following two lemmas show, however, 
+  %that this procedure can actually stop often earlier without having to consider all
+  %dependants.
+  %
+  %\begin{isabelle}\ \ \ \ \ %%%
+  %\begin{tabular}{@ {}l}
+  %@{thm[mode=IfThen] eq_up_self}\\
+  %@{text "If"} @{thm (prem 1) eq_up}, @{thm (prem 2) eq_up} and @{thm (prem 3) eq_up}\\
+  %@{text "then"} @{thm (concl) eq_up}.
+  %\end{tabular}
+  %\end{isabelle}
+  %
+  %\noindent
+  %The first lemma states that if the current precedence of @{text th} is unchanged,
+  %then the procedure can stop immediately (all dependent threads have their @{term cp}-value unchanged).
+  %The second states that if an intermediate @{term cp}-value does not change, then
+  %the procedure can also stop, because none of its dependent threads will
+  %have their current precedence changed.
+  \smallskip
+  *}
+(*<*)
+end
+context step_v_cps_nt
+begin
+(*>*)
+text {*
+  \noindent
+  \colorbox{mygrey}{@{term "V th cs"}:} We assume that @{text s'} and 
+  @{term "s \<equiv> V th cs#s'"} are both valid. We have to consider two
+  subcases: one where there is a thread to ``take over'' the released
+  resource @{text cs}, and one where there is not. Let us consider them
+  in turn. Suppose in state @{text s}, the thread @{text th'} takes over
+  resource @{text cs} from thread @{text th}. We can prove
+
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{thm depend_s}
+  \end{isabelle}
+  
+  \noindent
+  which shows how the @{text RAG} needs to be changed. The next lemma suggests
+  how the current precedences need to be recalculated. For threads that are
+  not @{text "th"} and @{text "th'"} nothing needs to be changed, since we
+  can show
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  @{thm[mode=IfThen] cp_kept}
+  \end{isabelle}
+  
+  \noindent
+  For @{text th} and @{text th'} we need to use Lemma~\ref{childrenlem} to
+  recalculate their current precedence since their children have changed. *}(*<*)end context step_v_cps_nnt begin (*>*)text {*
+  \noindent
+  In the other case where there is no thread that takes over @{text cs}, we can show how
+  to recalculate the @{text RAG} and also show that no current precedence needs
+  to be recalculated.
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm depend_s}\\
+  @{thm eq_cp}
+  \end{tabular}
+  \end{isabelle}
+  *}
+(*<*)
+end
+context step_P_cps_e
+begin
+(*>*)
+text {*
+  \noindent
+  \colorbox{mygrey}{@{term "P th cs"}:} We assume that @{text s'} and 
+  @{term "s \<equiv> P th cs#s'"} are both valid. We again have to analyse two subcases, namely
+  the one where @{text cs} is not locked, and one where it is. We treat the former case
+  first by showing that
+  
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm depend_s}\\
+  @{thm eq_cp}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  This means we need to add a holding edge to the @{text RAG} and no
+  current precedence needs to be recalculated.*}(*<*)end context step_P_cps_ne begin(*>*) text {*
+  \noindent
+  In the second case we know that resource @{text cs} is locked. We can show that
+  
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  @{thm depend_s}\\
+  @{thm[mode=IfThen] eq_cp}
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  That means we have to add a waiting edge to the @{text RAG}. Furthermore
+  the current precedence for all threads that are not dependants of @{text th}
+  are unchanged. For the others we need to follow the edges 
+  in the @{text RAG} and recompute the @{term "cp"}. To do this we can start from @{term "th"} 
+  and follow the @{term "depend"}-edges to recompute  using Lemma~\ref{childrenlem} 
+  the @{term "cp"} of every 
+  thread encountered on the way. Since the @{term "depend"}
+  is loop free, this procedure will always stop. The following lemma shows, however, 
+  that this procedure can actually stop often earlier without having to consider all
+  dependants.
+
+  \begin{isabelle}\ \ \ \ \ %%%
+  \begin{tabular}{@ {}l}
+  %%@ {t hm[mode=IfThen] eq_up_self}\\
+  @{text "If"} @{thm (prem 1) eq_up}, @{thm (prem 2) eq_up} and @{thm (prem 3) eq_up}\\
+  @{text "then"} @{thm (concl) eq_up}.
+  \end{tabular}
+  \end{isabelle}
+
+  \noindent
+  This lemma states that if an intermediate @{term cp}-value does not change, then
+  the procedure can also stop, because none of its dependent threads will
+  have their current precedence changed.
+  *}
+(*<*)
+end
+(*>*)
+text {*
+  \noindent
+  As can be seen, a pleasing byproduct of our formalisation is that the properties in
+  this section closely inform an implementation of PIP, namely whether the
+  @{text RAG} needs to be reconfigured or current precedences need to
+  be recalculated for an event. This information is provided by the lemmas we proved.
+  We confirmed that our observations translate into practice by implementing
+  our version of PIP on top of PINTOS, a small operating system written in C and used for teaching at 
+  Stanford University \cite{PINTOS}. To implement PIP, we only need to modify the kernel 
+  functions corresponding to the events in our formal model. The events translate to the following 
+  function interface in PINTOS:
+
+  \begin{center}
+  \begin{tabular}{|l@ {\hspace{2mm}}|l@ {\hspace{2mm}}|}
+  \hline
+  {\bf Event} & {\bf PINTOS function} \\
+  \hline
+  @{text Create} & @{text "thread_create"}\\
+  @{text Exit}   & @{text "thread_exit"}\\
+  @{text Set}    & @{text "thread_set_priority"}\\
+  @{text P}      & @{text "lock_acquire"}\\
+  @{text V}      & @{text "lock_release"}\\ 
+  \hline
+  \end{tabular}
+  \end{center}
+
+  \noindent
+  Our implicit assumption that every event is an atomic operation is ensured by the architecture of 
+  PINTOS. The case where an unlocked resource is given next to the waiting thread with the
+  highest precedence is realised in our implementation by priority queues. We implemented
+  them as \emph{Braun trees} \cite{Paulson96}, which provide efficient @{text "O(log n)"}-operations
+  for accessing and updating. Apart from having to implement relatively complex data\-structures in C
+  using pointers, our experience with the implementation has been very positive: our specification 
+  and formalisation of PIP translates smoothly to an efficent implementation in PINTOS. 
+*}
+
+section {* Conclusion *}
+
+text {* 
+  The Priority Inheritance Protocol (PIP) is a classic textbook
+  algorithm used in many real-time operating systems in order to avoid the problem of
+  Priority Inversion.  Although classic and widely used, PIP does have
+  its faults: for example it does not prevent deadlocks in cases where threads
+  have circular lock dependencies.
+
+  We had two goals in mind with our formalisation of PIP: One is to
+  make the notions in the correctness proof by Sha et al.~\cite{Sha90}
+  precise so that they can be processed by a theorem prover. The reason is
+  that a mechanically checked proof avoids the flaws that crept into their
+  informal reasoning. We achieved this goal: The correctness of PIP now
+  only hinges on the assumptions behind our formal model. The reasoning, which is
+  sometimes quite intricate and tedious, has been checked by Isabelle/HOL. 
+  We can also confirm that Paulson's
+  inductive method for protocol verification~\cite{Paulson98} is quite
+  suitable for our formal model and proof. The traditional application
+  area of this method is security protocols. 
+
+  The second goal of our formalisation is to provide a specification for actually
+  implementing PIP. Textbooks, for example \cite[Section 5.6.5]{Vahalia96},
+  explain how to use various implementations of PIP and abstractly
+  discuss their properties, but surprisingly lack most details important for a
+  programmer who wants to implement PIP (similarly Sha et al.~\cite{Sha90}).  
+  That this is an issue in practice is illustrated by the
+  email from Baker we cited in the Introduction. We achieved also this
+  goal: The formalisation allowed us to efficently implement our version
+  of PIP on top of PINTOS \cite{PINTOS}, a simple instructional operating system for the x86 
+  architecture. It also gives the first author enough data to enable
+  his undergraduate students to implement PIP (as part of their OS course).
+  A byproduct of our formalisation effort is that nearly all
+  design choices for the PIP scheduler are backed up with a proved
+  lemma. We were also able to establish the property that the choice of
+  the next thread which takes over a lock is irrelevant for the correctness
+  of PIP. 
+
+  PIP is a scheduling algorithm for single-processor systems. We are
+  now living in a multi-processor world. Priority Inversion certainly
+  occurs also there.  However, there is very little ``foundational''
+  work about PIP-algorithms on multi-processor systems.  We are not
+  aware of any correctness proofs, not even informal ones. There is an
+  implementation of a PIP-algorithm for multi-processors as part of the
+  ``real-time'' effort in Linux, including an informal description of the implemented scheduling
+  algorithm given in \cite{LINUX}.  We estimate that the formal
+  verification of this algorithm, involving more fine-grained events,
+  is a magnitude harder than the one we presented here, but still
+  within reach of current theorem proving technology. We leave this
+  for future work.
+
+  The most closely related work to ours is the formal verification in
+  PVS of the Priority Ceiling Protocol done by Dutertre
+  \cite{dutertre99b}---another solution to the Priority Inversion
+  problem, which however needs static analysis of programs in order to
+  avoid it. There have been earlier formal investigations
+  into PIP \cite{Faria08,Jahier09,Wellings07}, but they employ model
+  checking techniques. The results obtained by them apply,
+  however, only to systems with a fixed size, such as a fixed number of 
+  events and threads. In contrast, our result applies to systems of arbitrary
+  size. Moreover, our result is a good 
+  witness for one of the major reasons to be interested in machine checked 
+  reasoning: gaining deeper understanding of the subject matter.
+
+  Our formalisation
+  consists of around 210 lemmas and overall 6950 lines of readable Isabelle/Isar
+  code with a few apply-scripts interspersed. The formal model of PIP
+  is 385 lines long; the formal correctness proof 3800 lines. Some auxiliary
+  definitions and proofs span over 770 lines of code. The properties relevant
+  for an implementation require 2000 lines. 
+  %The code of our formalisation 
+  %can be downloaded from
+  %\url{http://www.inf.kcl.ac.uk/staff/urbanc/pip.html}.\medskip
+
+  \noindent
+  {\bf Acknowledgements:}
+  We are grateful for the comments we received from anonymous
+  referees.
+
+  \bibliographystyle{plain}
+  \bibliography{root}
+*}
+
+
+(*<*)
+end
+(*>*)
\ No newline at end of file