{"title":"基于形式概念分析的服务绑定自适应","authors":"Stéphanie Chollet","doi":"10.1109/ICAC.2015.26","DOIUrl":null,"url":null,"abstract":"Service-oriented computing has been successfully adopted by the industry. This raises however new challenges, especially with respect to service selection and ranking in dynamic environments. Current solutions for service selection and ranking lack flexibility to handle dynamic environments. This paper proposes to integrate algorithms based on the Formal Concept Analysis theory to extend service-oriented component models. This solution improves the self-adaptation of service-oriented component models. The resulting framework externalizes service selection and ranking. Results are integrated in the Apache Felix iPOJO component model.","PeriodicalId":6643,"journal":{"name":"2015 IEEE International Conference on Autonomic Computing","volume":"1 1","pages":"211-214"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-Adaptation of Service Bindings Based on Formal Concept Analysis\",\"authors\":\"Stéphanie Chollet\",\"doi\":\"10.1109/ICAC.2015.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Service-oriented computing has been successfully adopted by the industry. This raises however new challenges, especially with respect to service selection and ranking in dynamic environments. Current solutions for service selection and ranking lack flexibility to handle dynamic environments. This paper proposes to integrate algorithms based on the Formal Concept Analysis theory to extend service-oriented component models. This solution improves the self-adaptation of service-oriented component models. The resulting framework externalizes service selection and ranking. Results are integrated in the Apache Felix iPOJO component model.\",\"PeriodicalId\":6643,\"journal\":{\"name\":\"2015 IEEE International Conference on Autonomic Computing\",\"volume\":\"1 1\",\"pages\":\"211-214\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Autonomic Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAC.2015.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Autonomic Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAC.2015.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
面向服务的计算已被业界成功采用。然而,这带来了新的挑战,特别是在动态环境中的服务选择和排名方面。当前的服务选择和排序解决方案缺乏处理动态环境的灵活性。本文提出了基于形式概念分析理论的集成算法来扩展面向服务的组件模型。该解决方案改进了面向服务的组件模型的自适应能力。由此产生的框架将服务选择和排序具体化。结果集成在Apache Felix iPOJO组件模型中。
Self-Adaptation of Service Bindings Based on Formal Concept Analysis
Service-oriented computing has been successfully adopted by the industry. This raises however new challenges, especially with respect to service selection and ranking in dynamic environments. Current solutions for service selection and ranking lack flexibility to handle dynamic environments. This paper proposes to integrate algorithms based on the Formal Concept Analysis theory to extend service-oriented component models. This solution improves the self-adaptation of service-oriented component models. The resulting framework externalizes service selection and ranking. Results are integrated in the Apache Felix iPOJO component model.