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Title: Context-Bounded Analysis of Concurrent Queue Systems


1
Context-Bounded Analysis of Concurrent Queue
Systems
  • Gennaro Parlato
  • University of Illinois at Urbana-Champaign
  • Università degli Studi di Salerno
  • Salvatore La Torre (U. Salerno)
  • P. Madhusudan (U. Illinois U-C)

2
Queue Systems
  • Architecture
  • A node is a process
  • Finite control
  • Recursive (call-stack)
  • An edge is a FIFO channel
  • Unbounded capacity queue
  • Finite message alphabet
  • Finite shared memory

shared memory
p2
p1
Self-loops not allowed!
3
Queue Systems
  • A configuration
  • C ( LS1, ...,LSn, SM, St1, ..., Stn,
    Q1, ..., Qm )
  • LSi local states
  • SM shared memory
  • Sti stack content of process pi
  • Qi content of queue i
  • An action for a process pi
  • internal (changes LSi / SM )
  • push or pop from its own stack
  • send or receive a message from a queue

4
A natural model
  • Asynchronous or event-driven programs
  • Multi-core systems
  • Libasync-smp (Zeldovich et al,
    USENIX03)
  • Single-processor systems (e.g. Java, web service
    design)
  • Callbacks
  • NesC
    (Gay et al, PLDI03)
  • Distributed systems communicating via FIFO
    message channels
  • Distributed communication protocols

5
Model-Check Queue Systems
  • Reachability problem for queue systems
  • Given a set of global control states T,
  • is any state in T reachable?
  • Reachability is undecidable
  • Weakening the model to tackle undecidability
  • Lossy channels
    (Abdulla-Jonsson, LICS93)
  • Model queues as bags (Sen-Viswanathan,
    CAV06)

  • (Jhala-Majumdar, POPL07)
  • Our contribution a new way to curb
    undecidability
  • where queues are modeled
    accurately

6
Bounded context-switch reachability
  • In a context
  • only one process evolves
  • dequeue only from one queue
  • it can enqueue on all outgoing queues
  • Well-queuing (for recursive processes)
  • Dequeue only when stack is empty
  • Bounded context-switch reachability problem
  • Given
  • k?N
  • a set of global control states T,
  • Is T reachable within k context-switches?

7
Context-Bounded analysis for concurrent systems
  • Introduced by
  • Context-Bounded Model Checking of Concurrent
    Software

  • (Qadeer-Rehof, TACAS05)
  • Experimental results Large state coverage with
    few contexts
  • Iterative context bounding for systematic testing
    of multithreaded programs
    (Musuvathi-Qadeer, PLDI07)
  • CHESS at MSR
  • Context-bounded analysis for otherwise
    intractable systems
  • Reachability Analysis of Multithreaded Software
    with Asynchronous Communication
  • (Bouajjani-Esparza-Kiefe
    r-Schwoon, FSTTCS05)
  • Context-Bounded Analysis of Multithreaded
    Programs with Dynamic Linked Structures
    (Bouajjani-Fratani-Qadeer, CAV07)
  • A Robust Class of Context-Sensitive Languages
  • (La
    Torre-P.Madhusudan-Parlato, LICS07)

8
Our Results
  • Bounded Context-Switch Reachability is decidable
  • for non-recursive queuing processes
  • for well-queuing recursive processes
  • Precise characterization of architectures that
    admit a decidable (unbounded) reachability
    problem
  • with shared memory is undecidable for simple
    architectures)
  • no shared memory well-queuing recursive
  • directed forest
    architectures
  • no shared memory non recursive
  • underlying undirected graph is a forest
  • Decidability reduction to BCS reachability
    problem

9
Outline of the talk
  • Overview
  • Solving Bounded Context-Switch Reachability
  • Unbounded context-switching reachability Precise
    characterization of decidable architectures
  • Conclusions

10
Bounded-phase multi-stack pushdown automataLa
Torre, P.Madhusudan, Parlato, LICS07)
  • Finite set of states Q
  • An initial state qo?Q
  • Actions
  • internal move
  • push onto one stack
  • pop from one stack
  • Bounded-Phase Reachability Problem
  • Given
  • k ? N
  • a set of control states T,
  • is any state of T reachable with at most k
    phases?
  • Theorem
  • Bounded-phase reachability is decidable.
  • Complexity
  • time exponential in Q
  • double-exponential in k.

finite control
  • Multiply nested structures
  • MSO on multiply nested structures to MSO on trees
  • Quite complex proof
  • A phase is a sub-run where only
  • A unique stack can be popped
  • all stacks can be pushed onto

11
Bounded context-switch reachability for
Non-Recursive processes
  • Theorem
  • The bounded context-switch reachability for
    non-recursive QS
  • is decidable
  • Complexity
  • 2-Exptime in the number of context-switches
  • Exptime in the size of the system

Proof. Reduction to bounded-phase reachability
for multi-stack systems.

. ?
12
Proof (non-recursive case)
  • We define a MSPS that simulates the QS

  • Simulation
  • of a context
  • Sending m to queue q
  • ? push onto stq
  • Receiving m from q
  • ? pop from red stack
  • of a context-switch
  • (p,q) ? (p,q)
  • Reverse stack q
  • Reverse stack q

13
Proof (recursive case)
  • Simulate incoming queue and
  • call-stack using a single stack!
  • (exploit well-queuing assumption)

14
Removing conditions gives undecidability
  • BCS reachability is undecidable for
  • non well-queuing recursive processes
  • BCS reachability is undecidable if we allow to
    dequeuing from two queues in the same context

q1
p1
p3
q2
p2
15
Outline of the talk
  • Overview
  • Solving Bounded Context-Switch Reachability
  • Unbounded context-switching reachability Precise
    characterization of decidable architectures
  • Conclusions

16
Decidable Architectures with shared memory
is undecidable
  • With shared memory reachability is undecidable
    even for simple architectures
  • (reduction from the membership problem for
    Turing machines )
  • Non-recursive
  • Two non-recursive processes
  • One queue
  • Recursive
  • Two recursive processes
  • No queues
  • p1 p2
  • p1 p2
  • s1 s2

17
Decidable Architectures
recursive processes no shared memory
  • Theorem
  • An architecture admits decidable reachability
  • for well-queuing QSs with no shared memory
  • iff
  • it is a directed forest
  • Complexity
  • in 2-Exptime in the number of processes
  • in Exptime in the size of the QS

18
Decidable Architectures recursive processes
no shared memory
  • Reachability is decidable on directed forests
  • reduction to bounded context-switch reachability
  • Fix an order over the processes such that p gt
    parent(p)
  • p1, p2, p3, p4,
    p5
  • In the context i process pi evolves

19
Undecidable Architectures recursive
processes no shared memory
  • Reachability is undecidable for all other
    architectures.
  • Reduction from the emptiness of the intersection
    of two CFLs
  • reduction from the membership problem for Turing
    machines
  • (even for non-recursive)

20
Decidable Architectures
non-recursive processes no shared memory
Theorem An architecture admits decidable
reachability for non-recursive QSs with no
shared memory iff the undirected
architecture graph is a forest Complexity
Pspace-complete
21
Decidable Architectures
non-recursive processes no shared memory
  • Reachability is decidable when the undirected
    underlying graph is a forest
  • Algorithm
  • Reverse edges
  • Solvable using bounded context-switch
    reachability
  • Better solution
  • bounded size queue (1 message)
  • leads to a Pspace procedure
  • Complexity
  • Pspace-complete

q
p1
p2
p2
q
p1
22
Undecidable Architectures non-recursive
processes no shared memory
  • Reachability is undecidable when the undirected
    underlying graph there is a cycle
  • Precise characterization
  • Non-recursive processes
  • No shared memory
  • undirected architecture graph is a forest

p1 p2
23
Outline of the talk
  • Overview
  • Solving Bounded Context-Switch Reachability
  • Unbounded context-switching reachability Precise
    characterization of decidable architectures
  • Conclusions

24
Conclusions
  • Bounded Context-Switch Reachability decidable in
  • 2-EXPTIME
  • Unbounded context-switching reachability
  • Precise characterization of decidable
    architectures

Well-queuing Recursive processes
Non-Recursive processes
Undecidable Undecidable
Decidable iff directed forest (in 2-EXPTIME) Decidable iff undirected forest (Pspace-complete)
Shared Memory
No Shared Memory
25
A Future Direction
  • Practical algorithm for
  • - non recursive processes
  • - no-shared memory
  • undirected forest architectures
  • We proposed a Pspace algorithm
  • Each queue can be considered only of bounded size
    (one message)
  • This can be modeled as a finite state transition
    system
  • Implementations using standard model checkers

  • (like NuSMV)

Approximate schemes to solve bounded context
switching reachability for recursive queue
systems - a la Jhala-Majumdar,POPL07 for
Sen-ViswanathanCAV06
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