Two-stage approach for reliable dynamic Web service composition

作者：

Highlights：

• This paper proposes a two-stage method for reliable dynamic Web service composition and improves the reliability of dynamic Web service composition.

• In the first stage, the scale of candidate services is reduced and the service composition problem is transformed to local service selection problem.

• In the second stage, QoS of candidate services are predicted and used to select the optimal services for tasks in the service composition workflow.

• Culture Genetic Algorithm (CGA) is proposed to reduce candidate services and decompose the global QoS constraints into local QoS constraints.

• It proposes a Web service QoS dynamic prediction method based on improvedÂ case-based reasoning (CBR).

摘要

•This paper proposes a two-stage method for reliable dynamic Web service composition and improves the reliability of dynamic Web service composition.•In the first stage, the scale of candidate services is reduced and the service composition problem is transformed to local service selection problem.•In the second stage, QoS of candidate services are predicted and used to select the optimal services for tasks in the service composition workflow.•Culture Genetic Algorithm (CGA) is proposed to reduce candidate services and decompose the global QoS constraints into local QoS constraints.•It proposes a Web service QoS dynamic prediction method based on improvedÂ case-based reasoning (CBR).

论文关键词：Web service,Web service composition,Quality of service,QoS prediction

论文评审过程：Received 30 November 2014, Revised 7 January 2016, Accepted 9 January 2016, Available online 16 January 2016, Version of Record 20 February 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.01.010