How Can Transactional Semantics Enhance the Commit Rate of Context-aware Service Composition in Advanced Pervasive Systems?

Authors

  • Widad Ettazi Mohammed V University in Rabat, ENSIAS
  • Hatim Hafiddi EVEREST Team, STRS Lab, INPT Rabat, Morocco & IMS Team, ADMIR Laboratory, ENSIAS, Rabat IT Center, Mohammed V University in Rabat, Morocco https://orcid.org/0000-0002-6096-0092
  • Mahmoud Nassar Mohammed V University in Rabat, ENSIAS

DOI:

https://doi.org/10.3991/ijes.v9i4.25919

Keywords:

Context-awareness, Transactional Service, Behavioral Adaptation, Profiled Task Class, Adaptation Mechanism, Service Composition

Abstract


Context-aware composition of services exhibiting transactional properties poses several challenges. A major challenge is the transactional behavior of candidate services which is subject to perpetual change while the composition is running. Compositions of services displaying transactional properties must be dynamically adapted at run time to cope with context fluctuations. By dynamic adaptation, we refer to the ability to alter the composition behavior in response to changes affecting its execution. We focus on changes impacting the successful commit rate of transactional service composition. This has led us to explore the trail of a flexible homeomorphism between alternative behaviors. We propose a behavioral adaptation approach that adjusts the behavior of transactional compositions of services in a proactive and transparent manner. This strategy is based on the Profiled Task Class concept. A service composition generator has also been developed for the performance evaluation of components implementing the behavioral adaptation strategy in order to identify its impact on the commit rate of CATS compositions.

Cover iJES Vol. 9 No. 4 (2021)

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Published

2021-12-03

How to Cite

Ettazi, W., Hafiddi, H., & Nassar, M. (2021). How Can Transactional Semantics Enhance the Commit Rate of Context-aware Service Composition in Advanced Pervasive Systems?. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 9(4), pp. 39–57. https://doi.org/10.3991/ijes.v9i4.25919

Issue

Vol. 9 No. 4 (2021)

Section

Papers

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Copyright (c) 2021 Widad Ettazi, Hatim Hafiddi, Mahmoud Nassar

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