{"title":"A Fuzzy Logic Based Model for Representing and Evaluating Service Composition Properties","authors":"H. Pfeffer, Steffen Krüssel, S. Steglich","doi":"10.1109/ICSNC.2008.46","DOIUrl":null,"url":null,"abstract":"Due to the increasing number of available services and the emergence of dynamic service composition approaches, many requests can be answered by multiple functionally equivalent service compositions. However, those compositions may vary in their non-functional properties such as resource consumption or user rating within a specific community. Moreover, this performance highly depends on the requesting user's preferences and environmental context. Within this paper, we propose a fuzzy logic based model for representing any kind of non-functional service properties. Thus, service compositions' properties are measured during or after their execution and integrated into a fuzzy logic based property model. This representation stands out due to its light weight size and can be easily evaluated with regard to context-dependent user profiles.","PeriodicalId":105399,"journal":{"name":"2008 Third International Conference on Systems and Networks Communications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Conference on Systems and Networks Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSNC.2008.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Due to the increasing number of available services and the emergence of dynamic service composition approaches, many requests can be answered by multiple functionally equivalent service compositions. However, those compositions may vary in their non-functional properties such as resource consumption or user rating within a specific community. Moreover, this performance highly depends on the requesting user's preferences and environmental context. Within this paper, we propose a fuzzy logic based model for representing any kind of non-functional service properties. Thus, service compositions' properties are measured during or after their execution and integrated into a fuzzy logic based property model. This representation stands out due to its light weight size and can be easily evaluated with regard to context-dependent user profiles.