heterogeneous reactive system modeling and correct-by-construction deployment nov. 2003

Heterogeneous Reactive System Modeling and Correct-by-Construction Deployment

nov. 2003

Luca CarloniUC Berkeley

Alberto Sangiovanni-VincentelliUC Berkeley

Albert BenvenisteIrisa/Inria

Benoît CaillaudIrisa/Inria

Paul CaspiVerimag

Outline• Dealing with systems & components requires

handling heterogeneity– Tools with different MoC and paradigms– Heterogeneous architectures and systems– Correct-By-Construction deployment: what and how?

• Modeling Heterogeneous Systems – Tagged-Signal Model– Desynchronization– Heterogeneous parallel composition – Semantic Preserving

• Theoretical Results– General theorem on semantic-preserving deployment– Endo/iso-chrony– Correct-By-Construction deployment over GALS

Architectures

Heterogeneous models: design flow in automobile or aeronautics

• Systems modeling (UML, MDA,…)– Loose model of computation & communication

• Matlab/Simulink/Stateflow– Continuous time basis

• Statemate, synchronous languages• Late assembly of imported functions

– Can be in C… – Depends on OS and execution infrastructure

• Deployment – CAN, ARINC, TTA,…

Heterogeneous architectures: electronics for the Car

Information

SystemsTe

lem

atic

s

Faul

t To

lera

nt

Body Electronics Bo

dyFu

ncti

ons

Fail

Safe

Faul

t F

unct

iona

l

Body Electronics

Dri

ving

and

Veh

icle

Dyn

amic

Fun

ctio

nsMobile Communications Navigation

FireWall

Access to WWWDAB

GateWay

GateWay

Theft warning

Door Module Light Module

AirConditioning

Shift by

Wire

EngineManageme

nt

ABS

Steer by

Wire

Brake by

Wire

MOSTMOSTFirewireFirewire

CANCANLinLin

CANCANTTCANTTCAN

FlexRayFlexRay

Classes of heterogeneous systems: GALS (in “asynch” HW and OO-SW)

synchronous

synchronous

asynchronous

Classes of heterogeneous systems: LTTA (distributed control) [BenvCaspi&al, Emsoft2002]

synchronous

timed synchronous

timed

asynchronous timed

(bounded delay)

How to blend heterogeneous models while “preserving semantics”?

synch synch + timed

What have

you asynch

asynch +

timed

How to blend heterogeneous models while “preserving semantics”? Our proposal:

synch

asynchby generating proper adaptors

asynch +

timedsynch +

timed

What have

you

Adaptors for GALS: informal discussion

XYZ

XYZ

XYZ

synchsynch

asynch


How to ensure that the two components do not see the difference when moving from synchrony to GALS?


How to ensure that the two components do not see the difference when moving from synchrony to GALS? Easy if known to be single-clocked: bananas !


How to ensure that the two components do not see the difference when moving from synchrony to GALS? In general bananas can be many!

bananas ???


Solution: attach to each wire a boolean_clock that is present in each reaction and tells you the presence/absence for the wire (cf. hardware)

bananas ???ff tt tt tt ff ff


OK, but poor if slow/fast communications between components, because all boolean clocks must be communicated at fastest pace theory needed!

bananas ???ff tt tt tt ff ff


handling heterogeneity– Tools with different MoC and paradigms– Heterogeneous systems– Correct-By-Construction deployment: what and how?



Architectures

Formalizing GALS

XYZ

XYZ

XYZ

synchsynch

asynch

Formalizing GALS [LeeASV98]

XYZ

1 3 4 64 61 2 3

asynch+ TAGS

XYZ

asynch

XYZ

synch= …

Formalizing GALS: desynchronization

XYZ

1 3 4 64 61 2 3

asynch+ TAGS

XYZ

asynch

desynchronise = remove TAGS

Formalizing GALS: P ||Q

XYV

1 3 4 64 6

unify values and TAGS

XYU

1 3 4 64 6


XYV

1 3 4 64 6

XYU

3 5 7 122 3

unify values, ignoreignore TAGS [LeGuerTal2002]


XYV

1 3 4 64 6

XYU

3 5 7 122 3

unify values, ignoreignore TAGS on the left

synch

asynch

TAGS generalize and heterogeneize

X

Z

1,t

1,s 2,s

3,t 4,t

4,s

a TAG consisting of the triple (reaction, physical time, causality)


XYU

t1 t2 t3 t42 3

• TAGS can belong to any partially ordered set – tags can index reactions, can be (global or local) real time R, can encode causality, can do both, etc.• TAGS can be tuples – (generalized) desynchronization consists in erasing some components of the tag; yields morphisms of tag sets, we denote them by

• different TAG sets can be used for different systems – we can mix synchronous systems (with tag set N) and asynchronous ones (with trivial tag set), and more


synchSynch

+ timed

What have

you asynch

Is this any useful???

Yes! For correct deployment

synchsynch

synchsynch

Yes! For correct deployment

synchsynch

synchasync

h

Sometimes this move is OK, sometimes not… make it OK!

synchsynch

synchasync

h

Sometimes this move is OK, sometimes not… make it OK!

synchsynch

synchasync

husing adaptors


handling heterogeneity– Tools with different MoC and paradigms– Heterogeneous systems– Correct-By-Construction deployment: what and how?



Architectures

A theory to automatically generate adaptors

Semantic-Preserving Time Changes• Given P1=(V1,T1), P2=(V2,T2) with time change

mappings :T1 T and :T2 T let T1=T2 and consider two semantics:

-the Strong Semantics: P1 || P2 [unify values & all_tags]-the Weak Semantics: P1 || P2 [ignore (tags)]

is semantics-preserving when two behaviors, which compose according to the strong semantics, compose also according to the weak one, written

P1 || P2 P1 || P2

• Define also Pi,=(Vi,T), the desynchronization of Pi

Semantic-Preserving Time Changes• Given P1=(V1,T1), P2=(V2,T2) with time change

mappings :T1 T and :T2 T let T1=T2 and consider two semantics:

-the Strong Semantics: P1 || P2 [unify values&all_tags]-the Weak Semantics: P1 || P2 [ignore (tags)]

is semantics-preserving when two behaviors, which compose according to the strong semantics, compose also according to the weak one, written

P1 || P2 P1 || P2

• Define also Pi,=(Vi,T), the desynchronization of Pi

Theorem [Emsoft2003]

• Given P1=(V1,T1), P2=(V2,T2) with T1=T2:

P1 || P2 P1 || P2

i {1,2} : Pi, is in bijection with Pi

(P)|| (Q) = (P|| Q)

(1)(2)

GALS: endochrony GALS: isochrony

(1)(2)

Endochrony & Isochrony for GALS [BenvCaillaud2000]

• A synchronous process P is endochronous when at each state the presence/absence of each variable can be inferred incrementally from the values carried by present input variables and state variables.

• A synchronous pair (P1,P2 ) is isochronous when at each state if each pair of shared variables that are present in both P1,P2 have the same value then all the shared variable are either present with the same value or absent

• endo+iso deployment is semantics preserving

Endochrony & Isochrony for GALS [BenvCaillaud2000]

• A process P is endochronous when at each state the presence/absence of each variable can be inferred incrementally from the values carried by present input variables and state variables.

• A pair (P1,P2 ) is isochronous when at each state if each pair of shared variables that are present in both P1,P2 have the same value then all the shared variable are either present with the same value or absent

• Endochrony and isochrony are expressed in terms of transition relations (not infinite behaviors) – They can be model-checked – They can be synthesized: for a given P wrapper

processes with additional signalling can be derived and composed with P to guarantee each property. Wrappers provide “cheap additional signalling”

Future extension: finite generators for general TAG systems

X

Z

1,t

1,s 2,s

3,t 4,t

4,s

•TAG set equipped with a monoid structure making it a partial order•Alike generalized HMSC’s (High-level Message Sequence Charts), with asynchronous concatenation•Labeled by TAGS: TAG-HMSC•Future work: endo/iso for TAG-HMSC’s

.

Conclusion

• Heterogeneous reactive systems modeled as tagged systems

• Tag sets to capture: reaction indices, physical time, causalities… and their combination

• Desynchronizing erasing (part of) tags• Theorems to cast semantics preserving

as specific algebraic properties of tuples of systems

• Goal: to generate adaptors for correct-by-construction deployment

heterogeneous reactive system modeling and correct-by-construction deployment nov. 2003

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