Citation

Yeap, Yann Ling and Ramasamy, R. Kanesaraj and Ho, Chin Kuan (2020) Simulation of Web Service Selection from a Web Service Repository. In: Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, 1040 . Springer, pp. 263-271. ISBN 978-981-15-1450-0, 978-981-15-1451-7

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Abstract

This paper studies the dynamic Web service selection methods and simulates it with the same dataset to show the performance of each method. Quality of service (QoS) in Web services composition has various non-functional issues such as performance, dependability, and others. As more and more Web services become available, QoS capability is becoming a crucial factor in selecting the services. We observe the performance of each method and also the recommended hybrid methods by the selected authors. As a result of observation, we have proposed a new hybrid method which can produce better performance (better processing time) in Web service selection. The new approach is proposed based on particle swarm optimization.

Item Type:	Book Section
Uncontrolled Keywords:	Web service, Web service selection, QoS attributes
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	14 Dec 2020 07:30
Last Modified:	14 Dec 2020 07:30
URII:	http://shdl.mmu.edu.my/id/eprint/7836

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