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Computer Science > Software Engineering

arXiv:1007.5092v1 (cs)
[Submitted on 29 Jul 2010]

Title:Handling Data-Based Concurrency in Context-Aware Service Protocols

Authors:Javier Cubo (University of Malaga), Ernesto Pimentel (University of Malaga), Gwen Salaün (Grenoble INP, INRIA-Grenoble, LIG), Carlos Canal (University of Malaga)
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Abstract:Dependency analysis is a technique to identify and determine data dependencies between service protocols. Protocols evolving concurrently in the service composition need to impose an order in their execution if there exist data dependencies. In this work, we describe a model to formalise context-aware service protocols. We also present a composition language to handle dynamically the concurrent execution of protocols. This language addresses data dependency issues among several protocols concurrently executed on the same user device, using mechanisms based on data semantic matching. Our approach aims at assisting the user in establishing priorities between these dependencies, avoiding the occurrence of deadlock situations. Nevertheless, this process is error-prone, since it requires human intervention. Therefore, we also propose verification techniques to automatically detect possible inconsistencies specified by the user while building the data dependency set. Our approach is supported by a prototype tool we have implemented.
Comments: In Proceedings FOCLASA 2010, arXiv:1007.4993
Subjects: Software Engineering (cs.SE)
Cite as: arXiv:1007.5092 [cs.SE]
  (or arXiv:1007.5092v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.1007.5092
Journal reference: EPTCS 30, 2010, pp. 62-77
Related DOI: https://doi.org/10.4204/EPTCS.30.5

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Thu, 29 Jul 2010 00:13:00 UTC (292 KB)
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