Position Paper: Renovating Edge Servers with ARM SoCs

Mengwei Xu, Li Zhang, Shangguang Wang
{"title":"Position Paper: Renovating Edge Servers with ARM SoCs","authors":"Mengwei Xu, Li Zhang, Shangguang Wang","doi":"10.1109/SEC54971.2022.00024","DOIUrl":null,"url":null,"abstract":"Edge servers are key to the success of edge computing. Compared to cloud servers, edge servers suffer from a more constrained and costly electricity supply due to their dense, near-population deployment. Towards higher energy efficiency, we propose an extreme design of edge servers - SoC-Cluster that consists of massive, inter-connected ARM SoCs. Indeed, such SoC-Clusters have already been adopted to serve the cloud gaming application in the wild. In this paper, we present a concrete implementation of a COTS SoC-Cluster and its hardware specifications. We then discuss the potential killer applications that such SoC-Cluster can well serve and the major challenges to be solved. We also dive deep into two of such applications (live video transcoding and deep learning serving) and carry out a measurement study to demystify the application performance of SoC-Cluster. The results reveal that, compared to traditional servers, SoC-Cluster not only can reduce energy consumption but even deliver higher workload throughput in certain scenarios. Finally, we conclude the paper and discuss the primary research directions that can be explored by our community from applications, software, and hardware aspects.","PeriodicalId":364062,"journal":{"name":"2022 IEEE/ACM 7th Symposium on Edge Computing (SEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM 7th Symposium on Edge Computing (SEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEC54971.2022.00024","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

Edge servers are key to the success of edge computing. Compared to cloud servers, edge servers suffer from a more constrained and costly electricity supply due to their dense, near-population deployment. Towards higher energy efficiency, we propose an extreme design of edge servers - SoC-Cluster that consists of massive, inter-connected ARM SoCs. Indeed, such SoC-Clusters have already been adopted to serve the cloud gaming application in the wild. In this paper, we present a concrete implementation of a COTS SoC-Cluster and its hardware specifications. We then discuss the potential killer applications that such SoC-Cluster can well serve and the major challenges to be solved. We also dive deep into two of such applications (live video transcoding and deep learning serving) and carry out a measurement study to demystify the application performance of SoC-Cluster. The results reveal that, compared to traditional servers, SoC-Cluster not only can reduce energy consumption but even deliver higher workload throughput in certain scenarios. Finally, we conclude the paper and discuss the primary research directions that can be explored by our community from applications, software, and hardware aspects.
意见书:用ARM soc革新边缘服务器
边缘服务器是边缘计算成功的关键。与云服务器相比,边缘服务器由于其密集、接近人口的部署而受到更大的限制和更昂贵的电力供应。为了提高能源效率,我们提出了一种边缘服务器的极端设计-由大量互连的ARM soc组成的soc集群。事实上,这样的soc - cluster已经被广泛应用于云游戏应用。本文给出了COTS soc集群的具体实现及其硬件规格。然后,我们讨论了SoC-Cluster可以很好地服务的潜在杀手级应用程序以及需要解决的主要挑战。我们还深入研究了其中的两个应用程序(实时视频转码和深度学习服务),并进行了测量研究,以揭开SoC-Cluster应用程序性能的神秘面纱。结果表明,与传统服务器相比,SoC-Cluster不仅可以降低能耗,甚至可以在某些场景中提供更高的工作负载吞吐量。最后,对本文进行了总结,并从应用、软件和硬件三个方面探讨了社区可以探索的主要研究方向。
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