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      Advances on QoS-aware web service selection and composition with nature-inspired computing

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          Abstract

          Service-oriented architecture is becoming a major software framework for complex application and it can be dynamically and flexibly composed by integrating existing component web services provided by different providers with standard protocols. The rapid introduction of new web services into a dynamic business environment can adversely affect the service quality and user satisfaction. Therefore, how to leverage, aggregate and make use of individual component's quality of service (QoS) information to derive the optimal QoS of the composite service which meets the needs of users is still an ongoing hot research problem. This study aims at reviewing the advance of the current state-of-the-art in technologies and inspiring the possible new ideas for web service selection and composition, especially with nature-inspired computing approaches. Firstly, the background knowledge of web services is presented. Secondly, various nature-inspired web selection and composition approaches are systematically reviewed and analysed for QoS-aware web services. Finally, challenges, remarks and discussions about QoS-aware web service composition are presented.

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          Most cited references 134

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                Author and article information

                Contributors
                Journal
                TRIT
                CAAI Transactions on Intelligence Technology
                CAAI Trans. Intell. Technol.
                The Institution of Engineering and Technology
                2468-2322
                September 2019
                22 July 2019
                6 September 2019
                : 4
                : 3
                : 159-174
                Affiliations
                [1 ] School of Science, Beijing University of Posts and Telecommunications , Beijing 100876, People's Republic of China
                [2 ] School of Computer Science, Beijing University of Posts and Telecommunications , Beijing 100876, People's Republic of China
                Article
                TRIT.2019.0018 CIT.2019.0018.R1
                10.1049/trit.2019.0018

                This is an open access article published by the IET, Chinese Association for Artificial Intelligence and Chongqing University of Technology under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                Product
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 71772060
                Categories
                Special Issue: Advances in Bio-inspired Heuristics for Computing

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