{"title":"Cloud Service Composition Modeling Using Bigraphical Reactive Systems","authors":"Oussama Kamel, A. Chaoui, Mohamed Gharzouli","doi":"10.1145/3105831.3105851","DOIUrl":null,"url":null,"abstract":"In the last decade, cloud computing has emerged as one of the most popular computing models. This model delivers a pool of computing resources as on-demand services to different categories of users. As the number of cloud services available on the Internet is increasing and owing to the users' complicated requirement, the composition of cloud services has become more and more challenging. In this work, we are interested in the vertical composition that represents the collaboration of services from different cloud layers to offer a complete solution to end-users. This paper proposes the Bigraphical Reactive Systems (BRS) to model the service composition. We use bigraphs to describe the different actors and services evolving in the composition. In addition, we define a set of bigraphical reactive rules to express the dynamic behaviors of these services and actors and to show the direct and indirect dependencies between them.","PeriodicalId":319729,"journal":{"name":"Proceedings of the 21st International Database Engineering & Applications Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st International Database Engineering & Applications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3105831.3105851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In the last decade, cloud computing has emerged as one of the most popular computing models. This model delivers a pool of computing resources as on-demand services to different categories of users. As the number of cloud services available on the Internet is increasing and owing to the users' complicated requirement, the composition of cloud services has become more and more challenging. In this work, we are interested in the vertical composition that represents the collaboration of services from different cloud layers to offer a complete solution to end-users. This paper proposes the Bigraphical Reactive Systems (BRS) to model the service composition. We use bigraphs to describe the different actors and services evolving in the composition. In addition, we define a set of bigraphical reactive rules to express the dynamic behaviors of these services and actors and to show the direct and indirect dependencies between them.