Simulation of Web Service Selection from a Web Service Repository

被引：0

作者：

Yeap, Yann-Ling ^{[1
]}

Ramasamy, R. Kanesaraj ^{[1
]}

Ho, Chin-Kuan ^{[1
]}

机构：

[1] Multimedia Univ, Persiaran Multimedia, Cyberjaya 63100, Selangnor, Malaysia

来源：

COGNITIVE INFORMATICS AND SOFT COMPUTING | 2020年 / 1040卷

关键词：

Web service; Web service selection; QoS attributes;

D O I：

10.1007/978-981-15-1451-7_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：263 / 271

页数：9

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