{"title":"A novel two-phase approach for QoS-aware service composition based on history records","authors":"Yong Zhu, Wei Li, Junzhou Luo, Xiao Zheng","doi":"10.1109/SOCA.2012.6449451","DOIUrl":"https://doi.org/10.1109/SOCA.2012.6449451","url":null,"abstract":"Existing service composition approaches usually assume that the quality of service does not change over time. Actually, the performance of a service may fluctuate due to the dynamic environments, which may violate the end-to-end QoS constraints or degrade the QoS of a composite service. History records (or QoS records) can exhibit QoS fluctuations over the past period and reflect the actual performance of a service. Thus, a novel Two-Phase Approach for Service Composition (TPASC) based on QoS records is presented to address the problem. The proposed approach has the two phases: one is preliminary filtering, where a heuristic QoS decomposition algorithm is proposed to decompose the end-to-end QoS constraints into local constraints, and then some promising services are selected in terms of the probability that they can meet the local constraints; the other is MIP (Mixed Integer Programming)-based service selection, where QoS records associated with each promising service are reduced by K-means clustering method, and then a MIP model is proposed to rank and select services in terms of the reduced QoS records. The experimental results show TPASC can conduct service composition with high efficiency and significant cost savings in dynamic environments.","PeriodicalId":273231,"journal":{"name":"IEEE International Conference on Service-Oriented Computing and Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122593071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhengping Liang, Xiaoli Liu, Guoqing Wu, Min Yang, Fan Zhang
{"title":"A formal Framework for Trust management of Service-oriented Systems","authors":"Zhengping Liang, Xiaoli Liu, Guoqing Wu, Min Yang, Fan Zhang","doi":"10.1109/SOCA.2007.3","DOIUrl":"https://doi.org/10.1109/SOCA.2007.3","url":null,"abstract":"Service oriented software development takes service, which is a well-defined function unit and can be purchased from Web, as the atomic entity for building software applications. Whereas, considering the particular characteristics of service, the trustworthiness of the service and service oriented applications needs to gain more attentions. In this paper we propose a trust framework for designing trustworthy service oriented applications, including service selection and service behavior monitoring. We use quantitative trust degree model for service selection and monitoring agents for the behavior surveillance. The formalized model of the service oriented application is also described. By using the formalization the formal verification, such as integrity of the design, the correctness and consistency of the implementation and so on, can be performed. In the end, an example is illustrated to demonstrate the details of the design process and formal analysis of the trust framework.","PeriodicalId":273231,"journal":{"name":"IEEE International Conference on Service-Oriented Computing and Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124860594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ruijin Zhou, Yiqun Pan, Zhizhong Huang, Qiujian Wang
{"title":"Building Energy Use Prediction Using Time Series Analysis","authors":"Ruijin Zhou, Yiqun Pan, Zhizhong Huang, Qiujian Wang","doi":"10.1109/SOCA.2013.14","DOIUrl":"https://doi.org/10.1109/SOCA.2013.14","url":null,"abstract":"This paper proposes a data-driven modeling method for building energy consumption prediction and applies it to two actual commercial buildings. Time series analysis is adopted as a main methodology to produce the data-driven model based on monthly actual energy consumption data. The models can be used to predict building future energy consumption, after being modified and verified.","PeriodicalId":273231,"journal":{"name":"IEEE International Conference on Service-Oriented Computing and Applications","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124214410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}