Authors:
Rim Teyeb Jaouachi
;
Maher Ben Jemaa
and
Achraf Karray
Affiliation:
University of Sfax, Tunisia
Keyword(s):
Web Services, Quality of Service, Replacement, Bees Algorithm, Optimization.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Principles of SOC/SOA, Service Science
;
Service Discovery, Selection and Replacement
;
Services
Abstract:
Web service is a new paradigm of internet software and distributed computing. With the growth of web services number, the capability to find the optimal service which can substitute the fault service from different communities represents a very hard operation. The researched service must have the same functionalities of the fault service and the highest quality of service scale. In this paper, we propose heuristic method based onBees Algorithm to find the optimal service which can substitute the fault service. In our approach, we design a distributed environment based on Peer-to-Peer architecture in order to present distributed communities which are considered as flowers and research requests as bees.