An Algorithm for Computing Efficiently in Cloud Based Data Centers

I. Shah
{"title":"An Algorithm for Computing Efficiently in Cloud Based Data Centers","authors":"I. Shah","doi":"10.1109/ICSCCC.2018.8703299","DOIUrl":null,"url":null,"abstract":"Cloud computing has shifted the paradigm when it comes to handling our data. We are no more restricted to our standalone systems and can now access our data on the go. All the big companies like Google, Amazon et al have shifted their business on the cloud and are now offering their customers a new lease of life. However, with this ease come several challenges which have drawn the attention of people be it cryptographers, scientists or from business fraternity round the globe. Two main issues that one can relate to cloud computing is security and energy consumption. The aim of this paper is to address the energy concern in cloud data center. It would not be an aberration to say that cloud computing is at odds with the interests of the company when it comes to the financial aspect. If we go by stats, nearly 5% of the world’s total energy is being consumed by these data centers as their energy requirements are huge owing to services like PaaS, Iaas, SaaS.In this paper, an algorithm is proposed for minimizing the energy consumption of a typical data center catering to the need of cloud users. By modeling the incoming workload of a data center based on this approach, it can be proved that considerable savings in energy can be achieved","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCCC.2018.8703299","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

Cloud computing has shifted the paradigm when it comes to handling our data. We are no more restricted to our standalone systems and can now access our data on the go. All the big companies like Google, Amazon et al have shifted their business on the cloud and are now offering their customers a new lease of life. However, with this ease come several challenges which have drawn the attention of people be it cryptographers, scientists or from business fraternity round the globe. Two main issues that one can relate to cloud computing is security and energy consumption. The aim of this paper is to address the energy concern in cloud data center. It would not be an aberration to say that cloud computing is at odds with the interests of the company when it comes to the financial aspect. If we go by stats, nearly 5% of the world’s total energy is being consumed by these data centers as their energy requirements are huge owing to services like PaaS, Iaas, SaaS.In this paper, an algorithm is proposed for minimizing the energy consumption of a typical data center catering to the need of cloud users. By modeling the incoming workload of a data center based on this approach, it can be proved that considerable savings in energy can be achieved
一种基于云的数据中心高效计算算法
云计算已经改变了处理数据的模式。我们不再局限于我们的独立系统,现在可以随时访问我们的数据。所有像b谷歌、亚马逊等大公司都将业务转移到云上,现在为客户提供了新的生命。然而,随之而来的是一些挑战,这些挑战引起了密码学家、科学家或全球商界人士的注意。与云计算相关的两个主要问题是安全性和能耗。本文的目的是解决云数据中心的能源问题。说云计算在财务方面与公司的利益不一致并不是一种偏差。如果我们从统计数据来看,这些数据中心消耗了世界总能源的近5%,因为它们的能源需求是巨大的,这要归功于PaaS、Iaas、SaaS等服务。本文提出了一种最小化典型数据中心能耗的算法,以满足云用户的需求。通过基于这种方法对数据中心的传入工作负载进行建模,可以证明可以实现相当大的能源节约
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信