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Conference Papers Year : 2018

Selecting Web Service Compositions Under Uncertain QoS

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Remaci Zeyneb Yasmina
  • Function : Author
  • PersonId : 1038406
Hadjila Fethallah
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  • PersonId : 1031898
Didi Fedoua
  • Function : Author
  • PersonId : 1031899

Abstract

The uncertain QoS management is gaining a lot of interest in the service oriented computing area. In this work, we propose a framework that allows to select the TopK compositions of services that best meet the user’s requirements. This framework not only handles the user’s global constraints but it also takes into account the fluctuating nature of the QoS informations. More specifically we present two algorithms that ensure the aforementioned purposes. The first one ranks the services of each abstract class according to the probabilistic dominance heuristic. The second one explores the compositions search space by leveraging the backtracking search. The experimental evaluation shows that the proposed heuristic is more effective than the ranking based on average QoS.
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Dates and versions

hal-01913865 , version 1 (06-11-2018)

Licence

Attribution - CC BY 4.0

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Remaci Zeyneb Yasmina, Hadjila Fethallah, Didi Fedoua. Selecting Web Service Compositions Under Uncertain QoS. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.622-634, ⟨10.1007/978-3-319-89743-1_53⟩. ⟨hal-01913865⟩
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