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Context-Bounded Analysis of Concurrent Queue Systems

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). Queue Systems. Architecture A node is a process: Finite control

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Context-Bounded Analysis of Concurrent Queue Systems

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  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. finite unbounded 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, USENIX’03) • Single-processor systems (e.g. Java, web service design) • Callbacks • NesC(Gay et al, PLDI’03) • 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, LICS’93) • Model queues as bags (Sen-Viswanathan, CAV’06) (Jhala-Majumdar, POPL’07) • 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, TACAS’05) • Experimental results: Large state coverage with few contexts • Iterative context bounding for systematic testing of multithreaded programs (Musuvathi-Qadeer, PLDI’07) • CHESS at MSR • Context-bounded analysis for otherwise intractable systems • Reachability Analysis of Multithreaded Software with Asynchronous Communication (Bouajjani-Esparza-Kiefer-Schwoon, FSTTCS’05) • Context-Bounded Analysis of Multithreaded Programs with Dynamic Linked Structures (Bouajjani-Fratani-Qadeer, CAV’07) • A Robust Class of Context-Sensitive Languages (La Torre-P.Madhusudan-Parlato, LICS’07)

  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: underlyingundirected 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 automata[La Torre, P.Madhusudan, Parlato, LICS’07)] phase-switch phase-switch RUN phase phase phase • 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. with only 2 context-switches 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 p2 q2

  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. p1 p2 p5 p3 p4 Decidable Architecturesrecursive 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 > parent(p) p1, p2, p3, p4, p5 • In the context i process pi evolves

  19. p1 q1 q1 q p3 p1 p2 p2 q2 p p’ q2 • Precise characterization • Recursive processes • No shared memory • directed forests 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. p1 p2 Undecidable Architecturesnon-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 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-Viswanathan:CAV06]

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