期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2020
卷号：20
期号：3
页码：103-109
出版社：International Journal of Computer Science and Network Security
摘要：Current generation computing scenarios evidenced proliferation of cloud services with the rapid growth in the cloud service consumers. Demand for the utilization of cloud services is constantly increasing with complex service requests from the cloud service consumers that lead to the service composition. Functionally similar cloud services are being offered by different cloud service providers that made the selection of optimal cloud service as an multi-objective optimization problem. In this research study a deep learning inspired meta-heuristic approach is devised that with stand the continuous demands from different consumers in the context of selecting optimal composition pattern in dynamic cloud environment. The experimental studies indicate that the integration of deep learning mechanism with meta-heuristic optimization algorithm depicts better performance results than the existing meta-heuristic approaches of cloud service composition.
关键词：Cloud Service; Service composition; Service oriented architecture; Deep learning; Gated recurrent unit
