消息
×
loading..
Systematic Topology Design for Large-Scale Networks: A Unified Framework
2020-07-01
会议录名称PROCEEDINGS - IEEE INFOCOM
ISSN0743-166X
卷号2020-July
页码347-356
发表状态已发表
DOI10.1109/INFOCOM41043.2020.9155462
摘要

For modern large-scale networked systems, ranging from cloud to edge computing systems, the topology design has a significant impact on the system performance in terms of scalability, cost, latency, throughput, and fault-tolerance. These performance metrics may conflict with each other and design criteria often vary across different networks. To date, there has been little theoretic foundation on topology designs from a prescriptive perspective, indicating that the current status quo of the design process is more of an art than a science. In this paper, we advocate a novel unified framework to describe, generate, and analyze topology design in a systematic fashion. By reverse-engineering existing topology designs and developing a fine-grained decomposition method for topology design, we propose a general procedure that serves as a common language to describe topology design. By proposing general criteria for the procedure, we devise a top-down approach to generate topology models, based on which we can systematically construct and analyze new topologies. To validate our approach, we leverage concrete tools based on combinatorial design theory and propose a novel layered topology model. With quantitative performance analysis, we reveal the trade-offs among performance metrics and generate new topologies with various advantages for different large-scale networks. © 2020 IEEE.

会议录编者/会议主办者IEEE
关键词Computation theory Design Fault tolerance Decomposition methods Economic and social effects Combinatorial design theory Decomposition methods Large-scale network Networked systems Performance analysis Performance metrics Top down approaches Unified framework
会议名称38th IEEE Conference on Computer Communications, INFOCOM 2020
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点Toronto, ON, Canada
会议日期July 6, 2020 - July 9, 2020
URL查看原文
收录类别EI ; CPCI ; CPCI-S
语种英语
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000620945800036
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20203709155699
EI主题词Topology
EI分类号721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory ; 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory ; 971 Social Sciences
WOS关键词OPTIMIZATION
原始文献类型Conference article (CA)
来源库IEEE
引用统计
正在获取...
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/251812
专题信息科学与技术学院
信息科学与技术学院_PI研究组_邵子瑜组
信息科学与技术学院_硕士生
信息科学与技术学院_本科生
信息科学与技术学院_博士生
作者单位
1.School of Information Science and Technology, ShanghaiTech University
2.School of Electrical, Computer and Energy Engineering, Arizona State University
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Yijia Chang,Xi Huang,Longxiulin Deng,et al. Systematic Topology Design for Large-Scale Networks: A Unified Framework[C]//IEEE. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2020:347-356.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Yijia Chang]的文章
[Xi Huang]的文章
[Longxiulin Deng]的文章
百度学术
百度学术中相似的文章
[Yijia Chang]的文章
[Xi Huang]的文章
[Longxiulin Deng]的文章
必应学术
必应学术中相似的文章
[Yijia Chang]的文章
[Xi Huang]的文章
[Longxiulin Deng]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。