Abstract

Clustering Based Service Selection for Dynamic Service Composition

Highlights

  • Web service composition involves the integration of several existing web services to provide more complex and powerful service

  • - A web service directory WS is the set of services of a specific domain that exist in a service repository

  • According to table 4, the Execution Plan (EP) will be: To illustrate the selection algorithm in case of service failure, we consider several situations; each example is independent of the other: Situation 1:Suppose we have an event occurring in service repository that deletes J4. 2

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Summary

INTRODUCTION

Web service composition involves the integration of several existing web services to provide more complex and powerful service. Web services is in continuously changing and updating which requires a dynamic composition at runtime causing intensive computations. Another reason when different providers develop web services in different models making the mapping between services in the compositions a difficult task. The limited number of researches in this area indicates that the service selection in dynamic environment is a new research direction, and it is not mature enough to satisfy composition process requirements. The self-healing model involves three main processes: the web service clustering process, the service selection process, and the failure recovery process. The selection in the proposed model is monitored through its entire process, where the failure recovery process is triggered whenever an environment change is occurred

THE SELF-HEALING MODEL FOR WEB SERVICE SELECTION
DEFINITION AND SPECIFICATION
TASK AND JOB CLUSTERING
CLUSTERING-BASED WEB SERVICE SELECTION
SELF-HEALING SELECTION ALGORITHM
22: ReturnfoundAlternative
PERFORMANCE EVALUATION
EXPERIMENTS RESULTS
Clustering based selection time
Self-healing Recovery Time
CONCLUSION
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