Architecture Description Languages: IFIP TC-2 Workshop on by Peter H. Feiler, Bruce Lewis, Steve Vestal, Ed Colbert

By Peter H. Feiler, Bruce Lewis, Steve Vestal, Ed Colbert (auth.), Pierre Dissaux, Mamoun Filali-Amine, Pierre Michel, François Vernadat (eds.)

International Federation for info Processing

The IFIP sequence publishes state of the art leads to the sciences and applied sciences of data and verbal exchange. The scope of the sequence comprises: foundations of desktop technology; software program idea and perform; schooling; machine purposes in know-how; communique structures; platforms modeling and optimization; info platforms; desktops and society; computers expertise; defense and security in details processing structures; man made intelligence; and human-computer interplay. court cases and post-proceedings of referred overseas meetings in laptop technological know-how and interdisciplinary fields are featured. those effects frequently precede magazine booklet and symbolize the most up-tp-date learn. The valuable target of the IFIP sequence is to motivate schooling and the dissemination and alternate of knowledge approximately all points of computing.

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Extra resources for Architecture Description Languages: IFIP TC-2 Workshop on Architecture Description Languages (WADL), World Computer Congress, Aug. 22–27, 2004, Toulouse, France

Example text

CHARON and HIOA use more traditional ways to compose automata based on shared variables and/or shared events, whereas we use a scheduler function to compose models of real-time tasks that interact by contending for shared processors. Markov (and more general stochastic) processes are well known to exhibit the state space explosion when trying to solve large models of complex systems. This served to motivate the desire to use more computationally tractable abstractions. Early work established necessary and sufficient conditions for when abstractions of Markov chains were again Markov [Kemeny and Snell 1976].

Unfortunately, analyzing schedulability by model-checking systems of hybrid automata is not currently very tractable. We have done this for pairs of different kinds of tasks during the MetaH middleware verification exercise, but revolutionary advances in hybrid automata model-checking are needed to consistently analyze even a dozen non-trivial concurrent task models. We instead explore how to verify that a complex hybrid automaton task model (such as one defined in the AADL standard) can be safely approximated by a classical real-time task model for the purpose of schedulability analysis.

The abstraction is said to be safe in the time interval [0, T] Psa{Xa{t) = fa) > Px(X(t) G Pf) Vx € Ps and Vt G [0,T]. (6) In words, we require for all t € [0, T] that when starting in safe abstract state «sa, the probability of reaching abstract fault state fa is at least as great as the probability of reaching any state in partition Pf when starting from in any state in partition Ps in the concrete model. rc, then for every time t > 0 and for all x € 5C, the Pn(X(i) = x) = nx. When the abstraction is strongly lumpable (hence Markovian), the requirements of Equation 6 are satisfied because probabilities sum within partitions and the distribution of time to transition from all states in a partition to another partition is the same.

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