Parallel web service composition algorithm based on graph

Jingjing Hu*, Guijin Wu, Xiaolei Chen, Feifei Peng, Jingfeng Xue

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Web service composition is an important research of service computing. This paper aims to improve the web service dependency graph to raise the accuracy of service selection, and presents a parallel service composition algorithm based on MapReduce to enhance the efficiency of service composition, which addresses the current limitations of inaccuracy and inefficiency in massive service composition. Experimental results show that the strategies can acquire the feasible scheme of web service composition based on QoS and reduce the composition time by 68% on average in large-scale collection of web services to meet users' demands correctly and efficiently.

源语言英语
页(从-至)667-676
页数10
期刊Journal of Internet Technology
18
3
DOI
出版状态已出版 - 2017

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