{"title":"Green Cloud Communication System for Big Data Management","authors":"C. Stergiou, K. Psannis, Y. Ishibashi","doi":"10.1109/WSCE51339.2020.9275579","DOIUrl":null,"url":null,"abstract":"This paper makes an effort to survey and study the open challenges in the field of energy-efficient and green Cloud infrastructures. The useful software that offers the possibility to implement and evaluate Cloud environments is CloudSim, which we also use in order to demonstrate and propose our idea. Moreover, we consider the CloudSim’s simulator architecture in order to achieve our proposal. Consequently, we investigate and propose a system framework for better use of Big Data management, based on Cloud federated network. Additionally, we propose an algorithm for achieving an energy-efficient resource allocation technique for Big Data management on Green Cloud environment. The experimental results demonstrate that our proposed model has immense potential as it offers significant performance gains regarding the cost saving and the better data management under large workload scenarios.","PeriodicalId":183074,"journal":{"name":"2020 3rd World Symposium on Communication Engineering (WSCE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd World Symposium on Communication Engineering (WSCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSCE51339.2020.9275579","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
This paper makes an effort to survey and study the open challenges in the field of energy-efficient and green Cloud infrastructures. The useful software that offers the possibility to implement and evaluate Cloud environments is CloudSim, which we also use in order to demonstrate and propose our idea. Moreover, we consider the CloudSim’s simulator architecture in order to achieve our proposal. Consequently, we investigate and propose a system framework for better use of Big Data management, based on Cloud federated network. Additionally, we propose an algorithm for achieving an energy-efficient resource allocation technique for Big Data management on Green Cloud environment. The experimental results demonstrate that our proposed model has immense potential as it offers significant performance gains regarding the cost saving and the better data management under large workload scenarios.