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

Afaf Mousa, Jamal Bentahar

Research output: Contribution to journalConference articlepeer-review

19 Scopus citations


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.

Original languageBritish English
Pages (from-to)176-182
Number of pages7
JournalProcedia Computer Science
StatePublished - 2016
Event11th International Conference on Future Networks and Communications, FNC 2016 / 13th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2016 - Montreal, Canada
Duration: 15 Aug 201618 Aug 2016


  • Optimized
  • QoS
  • SSA
  • Web services selection


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