Mobility managed energy efficient Android mobile devices using cloudlet

Anuradha Ravi, S. K. Peddoju
{"title":"Mobility managed energy efficient Android mobile devices using cloudlet","authors":"Anuradha Ravi, S. K. Peddoju","doi":"10.1109/TECHSYM.2014.6808085","DOIUrl":null,"url":null,"abstract":"Mobile devices of today offload their compute intensive application to Cloud, but also consume huge energy while communicating using mobile network services like 3G/4G. Cloudlets can be used to provide such services with wireless LANs. However, the device mobility is limited to that network. Hence, Mobile Cloud Computing leaves two serious challenges, mobility and energy efficiency. This paper proposes a model to tackle the issues in new direction. In order to support mobility of the device, various parameters like signal strength, bit rate, number of interactions between Cloudlet and mobile device are measured to evaluate the handoff conditions. Further, various decisions are made based on two factors, offload factor and risk factor, to optimize the energy usage. Fuzzy based approach is used for offloading decisions. The proposed model and algorithm were evaluated using “opennebula” based Cloud setup and related experimental results were reported.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 IEEE Students' Technology Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TECHSYM.2014.6808085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

Mobile devices of today offload their compute intensive application to Cloud, but also consume huge energy while communicating using mobile network services like 3G/4G. Cloudlets can be used to provide such services with wireless LANs. However, the device mobility is limited to that network. Hence, Mobile Cloud Computing leaves two serious challenges, mobility and energy efficiency. This paper proposes a model to tackle the issues in new direction. In order to support mobility of the device, various parameters like signal strength, bit rate, number of interactions between Cloudlet and mobile device are measured to evaluate the handoff conditions. Further, various decisions are made based on two factors, offload factor and risk factor, to optimize the energy usage. Fuzzy based approach is used for offloading decisions. The proposed model and algorithm were evaluated using “opennebula” based Cloud setup and related experimental results were reported.
移动性使用cloudlet管理节能的Android移动设备
今天的移动设备将其计算密集型应用程序卸载到云上,但在使用3G/4G等移动网络服务进行通信时也消耗了巨大的能量。可以使用Cloudlets通过无线局域网提供此类服务。但是,设备的移动性仅限于该网络。因此,移动云计算留下了两个严峻的挑战,移动性和能源效率。本文提出了一个新的模型来解决这一问题。为了支持设备的移动性,我们测量了各种参数,如信号强度、比特率、Cloudlet与移动设备之间的交互次数,以评估切换条件。此外,根据卸载因素和风险因素两个因素做出各种决策,以优化能源使用。采用基于模糊的方法进行卸载决策。利用基于“开放星云”的云设置对所提出的模型和算法进行了评估,并报道了相关实验结果。
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