Ziyi Su, Yong Peng, Fuyong Ge, Changda Song, Fangyuan Ma, F. Biennier
{"title":"Collaboration-oriented information flow analysis and control for Mobile Cloud","authors":"Ziyi Su, Yong Peng, Fuyong Ge, Changda Song, Fangyuan Ma, F. Biennier","doi":"10.1109/CIACT.2017.7977319","DOIUrl":null,"url":null,"abstract":"This paper presents a functional design of a ‘information flow analysis’ service that provides information/data owner with a explicit and end-to-end provenance recording of information/data usage and redissemnation among entities in a collaborative context of Mobile Cloud. The core idea is to identify data exchanged among nodes in the business process. BPEL-defined business process is used as a study case. Experiments show the service to scale well with complex processes and to have trivial performance impact when deployed with an orchestration service.","PeriodicalId":218079,"journal":{"name":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIACT.2017.7977319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a functional design of a ‘information flow analysis’ service that provides information/data owner with a explicit and end-to-end provenance recording of information/data usage and redissemnation among entities in a collaborative context of Mobile Cloud. The core idea is to identify data exchanged among nodes in the business process. BPEL-defined business process is used as a study case. Experiments show the service to scale well with complex processes and to have trivial performance impact when deployed with an orchestration service.