{"title":"Research on Service Composition Optimization Method Based on Composite Services QoS","authors":"Chengrong Wang, Xiaodong Zhang, Dian-Hui Chu","doi":"10.1109/ICCIA49625.2020.00046","DOIUrl":null,"url":null,"abstract":"With the development of Cloud Computing, Internet of Things, and the advent of the era of Big Data, the types and scale of services are getting larger and larger, and the problem space of service composition is exploding. In order to measure the composite services quality of different combination schemes, this paper shows the calculation method of composite services QoS (Quality of Service), and improves the Ant Colony Algorithm by introducing Skyline calculation to further improve the efficiency of service composition and respond to user quickly. Finally, it is verified on the real QoS data set, and the feasibility and effectiveness of the method are proved through experiments.","PeriodicalId":237536,"journal":{"name":"2020 5th International Conference on Computational Intelligence and Applications (ICCIA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Computational Intelligence and Applications (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIA49625.2020.00046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the development of Cloud Computing, Internet of Things, and the advent of the era of Big Data, the types and scale of services are getting larger and larger, and the problem space of service composition is exploding. In order to measure the composite services quality of different combination schemes, this paper shows the calculation method of composite services QoS (Quality of Service), and improves the Ant Colony Algorithm by introducing Skyline calculation to further improve the efficiency of service composition and respond to user quickly. Finally, it is verified on the real QoS data set, and the feasibility and effectiveness of the method are proved through experiments.
随着云计算、物联网的发展和大数据时代的到来，服务的种类和规模越来越大，服务构成的问题空间呈爆炸式增长。为了衡量不同组合方案的组合服务质量，本文给出了组合服务QoS (quality of Service)的计算方法，并通过引入Skyline计算对蚁群算法进行改进，进一步提高了组合服务的效率，快速响应用户。最后，在真实的QoS数据集上进行了验证，通过实验验证了该方法的可行性和有效性。
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