An Approach for QoS-aware Service Composition with GraphPlan and Fuzzy Logic | Zendy

Ming Zhu | Zendy; Guodong Fan | Zendy; Jing Li | Zendy; Heng Kuang | Zendy

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An Approach for QoS-aware Service Composition with GraphPlan and Fuzzy Logic

Author(s) -

Ming Zhu,

Guodong Fan,

Jing Li,

Heng Kuang

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.149

Subject(s) - computer science , fuzzy logic , cloud computing , quality of service , web service , set (abstract data type) , service (business) , rank (graph theory) , distributed computing , artificial intelligence , world wide web , programming language , computer network , operating system , economy , mathematics , combinatorics , economics

With the rapid development of Information and Communication Technology, the growth of data is set to explode and brings us to an era of cloud computing. As a result, more and more services are posted on the web. In such situation, searching and composing services become a computationally demanding work. To address this problem, we design a system which combines fuzzy logic with GraphPlan algorithm. Fuzzy rules are employed to evaluate and rank services according to users’ preferences, then, the solution with the optimal QoS value is selected and used in GraphPlan construction. We evaluate our approach by experiments with web service challenge datasets.

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