{"title":"A General QoS-Aware Service Composition Model for Ubiquitous Computing","authors":"Qingcong Lv, Fan Yang, Qiying Cao","doi":"10.1109/IWISA.2009.5072622","DOIUrl":null,"url":null,"abstract":"Due to the large success of wireless networks and portable devices, the ubiquitous computing paradigm is becoming a reality. Service-oriented architectures are among the premier middleware approaches to coping with the dynamicity of ubiquitous computing environments. One of the most challenging objectives to be achieved in ubiquitous computing environments is to allow a user to perform tasks by composing on the fly the environment's service and resource components. In this paper we propose a general service composition model for ubiquitous computing which based on semantic service matchmaking and genetic algorithm-based optimization of service selection. Based on the model, a ubiquitous computing architecture is given.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"16 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5072622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Due to the large success of wireless networks and portable devices, the ubiquitous computing paradigm is becoming a reality. Service-oriented architectures are among the premier middleware approaches to coping with the dynamicity of ubiquitous computing environments. One of the most challenging objectives to be achieved in ubiquitous computing environments is to allow a user to perform tasks by composing on the fly the environment's service and resource components. In this paper we propose a general service composition model for ubiquitous computing which based on semantic service matchmaking and genetic algorithm-based optimization of service selection. Based on the model, a ubiquitous computing architecture is given.