协同:移动设备节能中间件

Harshit Kharbanda, Manoj Krishnan, R. Campbell
{"title":"协同:移动设备节能中间件","authors":"Harshit Kharbanda, Manoj Krishnan, R. Campbell","doi":"10.1109/CLUSTER.2012.64","DOIUrl":null,"url":null,"abstract":"The combined effect of Moore's law and the failure of Den nard scaling have led to multi-core mobile devices with immense computation capabilities. The biggest limitation of the computation capability for any mobile device is its battery. Mobile cloud computing is used to offload compute intensive tasks that affect a mobile device's battery. Mobile ad-hoc computing can be used as an alternative to mobile cloud computing in cases where cloud access is not available or is inhibitive to application performance, although battery drain remains a critical argument against mobile ad-hoc computing. In this paper, we present Synergy, a middleware that increases the battery life for a system of mobile devices connected in a peer-to-peer ad-hoc network. Synergy conserves energy by scaling core frequencies and by intelligently distributing the computation among peer devices. The middleware is not restricted to mobile phones and in no way restricts the mobility of the devices. Synergy considers the mobile devices connected in a peer-to-peer fashion as a single multicore device with Wifi as the interconnect. With Synergy running on Google Nexus phones we were able to conserve up to 30.6% of the system battery while incurring a latency penalty of less than 5%.","PeriodicalId":143579,"journal":{"name":"2012 IEEE International Conference on Cluster Computing","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Synergy: A Middleware for Energy Conservation in Mobile Devices\",\"authors\":\"Harshit Kharbanda, Manoj Krishnan, R. Campbell\",\"doi\":\"10.1109/CLUSTER.2012.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The combined effect of Moore's law and the failure of Den nard scaling have led to multi-core mobile devices with immense computation capabilities. The biggest limitation of the computation capability for any mobile device is its battery. Mobile cloud computing is used to offload compute intensive tasks that affect a mobile device's battery. Mobile ad-hoc computing can be used as an alternative to mobile cloud computing in cases where cloud access is not available or is inhibitive to application performance, although battery drain remains a critical argument against mobile ad-hoc computing. In this paper, we present Synergy, a middleware that increases the battery life for a system of mobile devices connected in a peer-to-peer ad-hoc network. Synergy conserves energy by scaling core frequencies and by intelligently distributing the computation among peer devices. The middleware is not restricted to mobile phones and in no way restricts the mobility of the devices. Synergy considers the mobile devices connected in a peer-to-peer fashion as a single multicore device with Wifi as the interconnect. With Synergy running on Google Nexus phones we were able to conserve up to 30.6% of the system battery while incurring a latency penalty of less than 5%.\",\"PeriodicalId\":143579,\"journal\":{\"name\":\"2012 IEEE International Conference on Cluster Computing\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTER.2012.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTER.2012.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

摩尔定律和登纳德缩放失败的共同作用导致了具有巨大计算能力的多核移动设备。任何移动设备的计算能力的最大限制是它的电池。移动云计算用于卸载影响移动设备电池的计算密集型任务。在云访问不可用或会影响应用程序性能的情况下,移动自组织计算可以作为移动云计算的替代方案,尽管电池消耗仍然是反对移动自组织计算的一个关键论点。在本文中,我们介绍了Synergy,这是一种中间件,可以延长在点对点自组织网络中连接的移动设备系统的电池寿命。Synergy通过缩放核心频率和智能地在对等设备之间分配计算来节省能量。中间件不局限于移动电话,也不限制设备的移动性。Synergy将以点对点方式连接的移动设备视为以Wifi作为互连的单个多核设备。当Synergy在谷歌Nexus手机上运行时,我们能够节省高达30.6%的系统电池,同时产生不到5%的延迟损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synergy: A Middleware for Energy Conservation in Mobile Devices
The combined effect of Moore's law and the failure of Den nard scaling have led to multi-core mobile devices with immense computation capabilities. The biggest limitation of the computation capability for any mobile device is its battery. Mobile cloud computing is used to offload compute intensive tasks that affect a mobile device's battery. Mobile ad-hoc computing can be used as an alternative to mobile cloud computing in cases where cloud access is not available or is inhibitive to application performance, although battery drain remains a critical argument against mobile ad-hoc computing. In this paper, we present Synergy, a middleware that increases the battery life for a system of mobile devices connected in a peer-to-peer ad-hoc network. Synergy conserves energy by scaling core frequencies and by intelligently distributing the computation among peer devices. The middleware is not restricted to mobile phones and in no way restricts the mobility of the devices. Synergy considers the mobile devices connected in a peer-to-peer fashion as a single multicore device with Wifi as the interconnect. With Synergy running on Google Nexus phones we were able to conserve up to 30.6% of the system battery while incurring a latency penalty of less than 5%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信