Enabling hyperscale web services

Akshitha Sriraman
{"title":"Enabling hyperscale web services","authors":"Akshitha Sriraman","doi":"10.1016/j.tbench.2023.100092","DOIUrl":null,"url":null,"abstract":"<div><p>Modern web services such as social media, online messaging, and web search support billions of users, requiring data centers that scale to hundreds of thousands of servers, i.e., <em>hyperscale</em>. The key challenge in enabling hyperscale web services arise from (1) an unprecedented growth in data, users, and service functionality and (2) a decline in hardware performance scaling. We highlight a dissertation’s contributions in bridging the software and hardware worlds to realize more efficient hyperscale services despite these challenges.</p></div>","PeriodicalId":100155,"journal":{"name":"BenchCouncil Transactions on Benchmarks, Standards and Evaluations","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BenchCouncil Transactions on Benchmarks, Standards and Evaluations","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772485923000091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Modern web services such as social media, online messaging, and web search support billions of users, requiring data centers that scale to hundreds of thousands of servers, i.e., hyperscale. The key challenge in enabling hyperscale web services arise from (1) an unprecedented growth in data, users, and service functionality and (2) a decline in hardware performance scaling. We highlight a dissertation’s contributions in bridging the software and hardware worlds to realize more efficient hyperscale services despite these challenges.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
启用超大规模web服务
社交媒体、在线消息和网络搜索等现代网络服务支持数十亿用户,需要扩展到数十万服务器的数据中心,即超大规模。实现超大规模web服务的关键挑战来自(1)数据、用户和服务功能的空前增长,以及(2)硬件性能扩展的下降。我们强调了一篇论文在连接软件和硬件世界以实现更高效的超规模服务方面的贡献,尽管存在这些挑战。
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 去求助
来源期刊
CiteScore
4.80
自引率
0.00%
发文量
0
期刊最新文献
BinCodex: A comprehensive and multi-level dataset for evaluating binary code similarity detection techniques Analyzing the impact of opportunistic maintenance optimization on manufacturing industries in Bangladesh: An empirical study Enhanced deep learning based decision support system for kidney tumour detection Table of Contents TensorTable: Extending PyTorch for mixed relational and linear algebra pipelines
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1