CSpace  > 中国科学院计算技术研究所期刊论文  > 英文
Labeled Network Stack: A High-Concurrency and Low-Tail Latency Cloud Server Framework for Massive IoT Devices
Zhang, Wen-Li1; Liu, Ke1; Shen, Yi-Fan1,2; Lan, Ya-Zhu1; Song, Hui1; Chen, Ming-Yu1,2,3; Chen, Yuan-Fei1,4
2020
发表期刊JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN1000-9000
卷号35期号:1页码:179-193
摘要Internet of Things (IoT) applications have massive client connections to cloud servers, and the number of networked IoT devices is remarkably increasing. IoT services require both low-tail latency and high concurrency in datacenters. This study aims to determine whether an order of magnitude improvement is possible in tail latency and concurrency in mainstream systems by proposing a hardware-software codesigned labeled network stack (LNS) for future datacenters. The key innovation is a cross-layered payload labeling mechanism that distinguishes different requests by payload across the full network stack, including application, TCP/IP, and Ethernet layers. This type of design enables prioritized data packet processing and forwarding along the full datapath, such that latency-insensitive requests cannot significantly interfere with high-priority requests. We build a prototype datacenter server to evaluate the LNS design against a commercial X86 server and the mTCP research, using a cloud-supported IoT application scenario. Experimental results show that the LNS design can provide an order of magnitude improvement in tail latency and concurrency. A single datacenter server node can support over 2 million concurrent long-living connections for IoT devices as a 99-percentile tail latency of 50 ms is maintained. In addition, the hardware-software codesign approach remarkably reduces the labeling and prioritization overhead and constrains the interference of high-priority requests to low-priority requests.
关键词tail latency high concurrency network stack cloud server Internet of Things (IoT) service
DOI10.1007/s11390-020-9651-x
收录类别SCI
语种英语
资助项目National Key Research and Development Plan of China[2016YFB1000203]
WOS研究方向Computer Science
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号WOS:000512098800011
出版者SCIENCE PRESS
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/14754
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhang, Wen-Li
作者单位1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Peng Cheng Lab, Shenzhen 518000, Peoples R China
4.Zhongke Zhicheng Elect Technol Co Ltd, Jining 272000, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Wen-Li,Liu, Ke,Shen, Yi-Fan,et al. Labeled Network Stack: A High-Concurrency and Low-Tail Latency Cloud Server Framework for Massive IoT Devices[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2020,35(1):179-193.
APA Zhang, Wen-Li.,Liu, Ke.,Shen, Yi-Fan.,Lan, Ya-Zhu.,Song, Hui.,...&Chen, Yuan-Fei.(2020).Labeled Network Stack: A High-Concurrency and Low-Tail Latency Cloud Server Framework for Massive IoT Devices.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,35(1),179-193.
MLA Zhang, Wen-Li,et al."Labeled Network Stack: A High-Concurrency and Low-Tail Latency Cloud Server Framework for Massive IoT Devices".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 35.1(2020):179-193.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Wen-Li]的文章
[Liu, Ke]的文章
[Shen, Yi-Fan]的文章
百度学术
百度学术中相似的文章
[Zhang, Wen-Li]的文章
[Liu, Ke]的文章
[Shen, Yi-Fan]的文章
必应学术
必应学术中相似的文章
[Zhang, Wen-Li]的文章
[Liu, Ke]的文章
[Shen, Yi-Fan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。