{"title":"Green cloud architecture for African local collectivities","authors":"M. M. Soidridine, Lishou Claude, A. Kora","doi":"10.1109/ICASTECH.2013.6707513","DOIUrl":null,"url":null,"abstract":"In this work, a low energy consumption and better quality of experience suitable architecture to provide cloud services for African users has been proposed. In addition, analytical model of carbon emission level corresponding to each service involved has been elaborated. The solution which has been presented enables the energy consumption in the greenest and most efficient way by choosing the related cloud service model as well as the appropriated data center. A thorough analysis of current cloud models in terms of accesses' costs, time-consumption, accuracy and data availability according to the data centers location has been investigated in order to trace out its weaknesses. An integrated green architecture which allows installing data centers close to the final customers has been introduced. To reduce the carbon footprint, we have proposed a “green cloud data centers” in order to reduce the CAPEX/OPEX of providers and the accesses' costs of the clients. It has been shown that the proposed solution outperformed the existing one in a greener and more sustainable way to provide African's customers better quality of service of these new generations' services at lower costs.","PeriodicalId":173317,"journal":{"name":"2013 International Conference on Adaptive Science and Technology","volume":"377 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Adaptive Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASTECH.2013.6707513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this work, a low energy consumption and better quality of experience suitable architecture to provide cloud services for African users has been proposed. In addition, analytical model of carbon emission level corresponding to each service involved has been elaborated. The solution which has been presented enables the energy consumption in the greenest and most efficient way by choosing the related cloud service model as well as the appropriated data center. A thorough analysis of current cloud models in terms of accesses' costs, time-consumption, accuracy and data availability according to the data centers location has been investigated in order to trace out its weaknesses. An integrated green architecture which allows installing data centers close to the final customers has been introduced. To reduce the carbon footprint, we have proposed a “green cloud data centers” in order to reduce the CAPEX/OPEX of providers and the accesses' costs of the clients. It has been shown that the proposed solution outperformed the existing one in a greener and more sustainable way to provide African's customers better quality of service of these new generations' services at lower costs.