Name
Abstract | ||
|---|---|---|
In this paper we present a compositional semantics for the channel-based coordination language Reo which enables the analysis of quality of service (QoS) properties of service compositions. For this purpose, we annotate Reo channels with stochastic delay rates and explicitly model data-arrival rates at the boundary of a connector, to capture its interaction with the services that comprise its environment. We propose Stochastic Reo automata as an extension of Reo automata, in order to compositionally derive a QoS-aware semantics for Reo. We further present a translation of Stochastic Reo automata to Continuous-Time Markov Chains (CTMCs). This translation enables us to use third-party CTMC verification tools to do an end-to-end performance analysis of service compositions. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.4204/EPTCS.30.7 | ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE |
Keywords | Field | DocType |
continuous time markov chain,quality of service,software engineering | Principle of compositionality,Programming language,Computer science,Markov chain,Automaton,Communication channel,Quality of service,Reo Coordination Language,Semantics,Coordination language | Journal |
Volume | Issue | ISSN |
abs/1007.5 | 30 | 2075-2180 |
Citations | PageRank | References |
6 | 0.43 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-Joo Moon | 1 | 70 | 3.98 |
| Alexandra Silva | 2 | 6 | 0.43 |
| Christian Krause | 3 | 254 | 12.93 |
| Farhad Arbab | 4 | 2667 | 177.77 |