An Efficient QoS-aware Web Services Selection Using Social Spider Algorithm | Zendy

Afaf Mousa | Zendy; Jamal Bentahar | Zendy

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An Efficient QoS-aware Web Services Selection Using Social Spider Algorithm

Author(s) -

Afaf Mousa,

Jamal Bentahar

Publication year - 2016

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2016.08.027

Subject(s) - computer science , quality of service , web service , particle swarm optimization , selection (genetic algorithm) , genetic algorithm , selection algorithm , distributed computing , algorithm , artificial intelligence , computer network , world wide web , machine learning

Efficient QoS-aware web services selection from the numerous number of functionally substitutable web services to deliver complex tasks is a current call from the business world. QoS-aware web services selection is a multi-objective optimization problem. Current approaches adapt genetic algorithms (GA) and particle swarm optimization (PSO) to solve it. However, the execution time performance of QoS-aware web services selection to achieve the maximum fitness value is still a concern for practical distributed applications. This paper proposes an efficient technique to solve this problem using the Social Spider Algorithm (SSA). The experiments evaluate the efficiency and feasibility of the proposed algorithm against PSO. SSA is found to outperform PSO in terms of both execution time and fitness

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