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Formal Specification, Verification, and Implementation of Fault-Tolerant Systems using EventML Vincent Rahli, David Guaspari, Mark Bickford and Robert L. Constable http://www.nuprl.org October 7, 2015 Vincent Rahli EventML October 7, 2015


  1. Formal Specification, Verification, and Implementation of Fault-Tolerant Systems using EventML Vincent Rahli, David Guaspari, Mark Bickford and Robert L. Constable http://www.nuprl.org October 7, 2015 Vincent Rahli EventML October 7, 2015 1/24

  2. Distributed Systems are Ubiquitous Vincent Rahli EventML October 7, 2015 2/24

  3. Correctness What evidence do we have that these systems are correct? Vincent Rahli EventML October 7, 2015 3/24

  4. Correctness What evidence do we have that these systems are correct? Type checking Testing Vincent Rahli EventML October 7, 2015 4/24

  5. Correctness What evidence do we have that these systems are correct? Type checking Testing Model checking Vincent Rahli EventML October 7, 2015 5/24

  6. Correctness What evidence do we have that these systems are correct? Type checking Testing Model checking Theorem proving Vincent Rahli EventML October 7, 2015 6/24

  7. New Challenges Distributed systems are hard to specify, implement and verify. We need to tolerate failures. It is hard to test all possible scenarios. State space explosion using model checking. Model checking often done on abstractions of the code rather than on the code itself. Vincent Rahli EventML October 7, 2015 7/24

  8. Contributions We use Nuprl as a specification, programming and verification language for asynchronous distributed systems. Programming interface: a constructive specification language called EventML Verification methodology Vincent Rahli EventML October 7, 2015 8/24

  9. Nuprl? Similar to Coq and Agda Extensional Intuitionistic Type Theory for partial functions Consistency proof in Coq Cloud based & virtual machines: http://www.nuprl.org JonPRL: http://www.jonprl.org Vincent Rahli EventML October 7, 2015 9/24

  10. Contributions A logic of events (LoE) and a general process model (GPM) implemented in Nuprl. Specified, verified, and generated consensus protocols (e.g., 2/3-Consensus & Paxos) using EventML . Aneris : a total ordered broadcast service. ShadowDB : a replicated database with 2 parametrizable replication protocols (PBR & SMR) built on top of Aneris. Improved performance without introducing bugs. We get decent performance . Vincent Rahli EventML October 7, 2015 10/24

  11. Our Methodology Vincent Rahli EventML October 7, 2015 11/24

  12. Our Methodology Vincent Rahli EventML October 7, 2015 12/24

  13. Event Orderings (or Message Sequence Diagrams) Vincent Rahli EventML October 7, 2015 13/24

  14. Event Orderings A dependent record   Event : Type     loc : Event → Loc ( e . g ., N )       : Event → Info ( e . g ., input message ) EO = info pred : Event → Event         : Event → Event → P <   plus some axioms E.g., < is well-founded Vincent Rahli EventML October 7, 2015 14/24

  15. Processes and Observers Process (GPM) corec ( λ P . ( A → P × Bag ( B ))+ Unit ) (Programmable) Observer (LoE) eo : EO → e : Event ( eo ) → Bag ( B ) Vincent Rahli EventML October 7, 2015 15/24

  16. Observers Vincent Rahli EventML October 7, 2015 16/24

  17. Observers Vincent Rahli EventML October 7, 2015 17/24

  18. Observers Vincent Rahli EventML October 7, 2015 18/24

  19. Observers in EventML ( ∗ = = = = = = = = = = = = Quorum : a s t a t e machine = = = = = = = = = = = = ∗ ) ( ∗ − − f i l t e r − − ∗ ) l e t new vote (n , r ) ( ( ( n’ , r ’ ) , cmd) , se nde r ) (cmds , l o c s ) = (n , r ) = ( n’ , r ’ ) & ! ( deq − member ( op =) se nde r l o c s ) ; ; ( ∗ − − update − − ∗ ) l e t upd quorum (n , r ) l o c (( nr , c ) , sndr ) ( cmds , l o c s ) = i f new vote (n , r ) (( nr , c ) , sndr ) (cmds , l o c s ) then ( c . cmds , sndr . l o c s ) e l s e ( cmds , l o c s ) ; ; ( ∗ − − output − − ∗ ) l e t roundout l o c ( ( ( n , r ) , cmd) , se nde r ) (cmds , l o c s ) = i f l e n g t h cmds = 2 ∗ F then l e t (k , cmd’ ) = poss − maj cmdeq (cmd . cmds ) cmd i n i f k = 2 ∗ F + 1 then d e c i d e d ’ b c a s t r e p s (n , cmd’ ) e l s e { r e t r y ’ s e n d l o c (( n , r +1) , cmd’ ) } e l s e {} ; ; l e t when quorum (n , r ) l o c vt s t a t e = i f new vote (n , r ) vt s t a t e then roundout l o c vt s t a t e e l s e {} ; ; ( ∗ − − s t a t e machine − − ∗ ) o b s e r v e r QuorumState (n , r ) = Memory ( \ l o c . ( [ ] , [ ] ) , upd quorum (n , r ) , v o t e ’ b a s e ) ; ; o b s e r v e r Quorum (n , r ) = ( when quorum (n , r )) o ( vote ’base , QuorumState (n , r )) ; ; Vincent Rahli EventML October 7, 2015 19/24

  20. Observer Relation v ∈ ( X eo e ) written as v ∈ X ( e ) v ∈ X || Y ( e ) ⇐ ⇒ ↓ ( v ∈ X ( e ) ∨ v ∈ Y ( e )) v ∈ X >>= Y ( e ) ⇐ ⇒ ↓∃ e ′ : { e ′ : E | e ′ ≤ loc e } . ∃ u : A . u ∈ X ( e ′ ) ∧ v ∈ ( Y u eo . e ′ e ) Vincent Rahli EventML October 7, 2015 20/24

  21. Automated Verification We use causal induction + inductive logical forms (ILFs) + state machine invariants + our brain Vincent Rahli EventML October 7, 2015 21/24

  22. State Machines import n o r e p e a t s l ength i n v a r i a n t quorum inv on ( cmds , l o c s ) i n ( QuorumState ni ) == n o r e p e a t s : : Loc l o c s / \ l ength ( cmds ) = l ength ( l o c s ) ; ; import f s e g o r d e r i n g quorum fseg on ( cmds1 , l o c s 1 ) then ( cmds2 , l o c s 2 ) i n QuorumState ni == f s e g : : Cmd cmds1 cmds2 / \ f s e g : : Loc l o c s 1 l o c s 2 ; ; p r o g r e s s r o u n d s s t r i c t i n c on round1 then round2 i n ( NewRoundsState n ) with (( n’ , round’ ) , cmd) i n RoundInfo and round = > n’ = n / \ round < round’ == round1 < round2 ; ; memory rounds mem on round1 then round2 i n ( NewRoundsState n ) with (( n’ , round’ ) , cmd) i n RoundInfo == ( n = n’ ) = > round’ < = round2 ; ; Vincent Rahli EventML October 7, 2015 22/24

  23. Inductive Logical Forms ∀ [Cmd:{T:Type| valueall-type(T)}]. ∀ [clients,reps:bag(Id)]. ∀ [cmdeq:EqDecider(Cmd)]. ∀ [F: Z ]. ∀ [f:headers_type{i:l}(Cmd)]. ∀ [es:EO]. ∀ [e:E]. ∀ [i,sender:Id]. ∀ [d,n,r: Z ]. ∀ [v:Cmd]. (<d, i, make-Msg(‘‘vote‘‘;<<<n, r>, c>, sender>)> ∈ main(Cmd;clients;cmdeq;F;reps;f)(e) 1 ⇐ ⇒ loc(e) ↓∈ reps ∧ i ↓∈ reps ∧ (d = 0) 2 3 ∧ ( ↓∃ n’: Z . ∃ c’:Cmd. ∃ e’:{e’:E| e’ ≤ loc e }. ((((header(e’) = ‘‘propose‘‘) ∧ <n’, c’> = body(e’)) ∨ (has-es-info-type(es;e’;f; Z × Z × Cmd × Id) 4 ∧ (header(e’) = ‘‘vote‘‘) ∧ (n’ = (fst(fst(fst(msgval(e’)))))) ∧ (c’ = (snd(fst(msgval(e’))))))) ∧ (((fst(ReplicaStateFun(Cmd;f;es;e’))) < n’) 5 ∨ (n’ ∈ snd(ReplicaStateFun(Cmd;f;es;e’)))) ∧ (no Notify(Cmd;clients;f) n’ between e’ and e) 6 ∧ (((<<<n, r>, c>, sender> = <<<n’, 0>, c’>, loc(e)>) ∧ (e = e’)) 7 ∨ ( ∃ r’: Z . ∃ c’’:Cmd. ((<<<n, r>, c>, sender> = <<<n’, r’>, c’’>, loc(e)>) ∧ ( ∃ e1:{e1:E| e1 ≤ loc e } ((((header(e1) = ‘‘retry‘‘) ∧ <<n’, r’>, c’’> = body(e1)) ∨ (has-es-info-type(es.e’;e1;f; Z × Z × Cmd × Id) ∧ (header(e1) = ‘‘vote‘‘) 8 ∧ (n’ = (fst(fst(fst(msgval(e1)))))) ∧ (r’ = (snd(fst(fst(msgval(e1)))))) ∧ (c’’ = (snd(fst(msgval(e1))))))) ∧ (NewRoundsStateFun(Cmd;f;n’;es.e’;e1) < r’) ∧ (e = e1))))))))) Vincent Rahli EventML October 7, 2015 23/24

  24. What next Vincent Rahli EventML October 7, 2015 24/24

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