Mirrored K‐Ary N‐Tree and its efficiency of fault tolerance

Author:

Li Yamin1ORCID,Chu Wanming2

Affiliation:

1. Department of Computer Science Hosei University Tokyo Japan

2. Division of Information Systems University of Aizu Aizuwakamatsu Japan

Abstract

SummaryFat‐tree is one of the most commonly used topologies in the interconnection networks of modern supercomputers and datacenters. In a traditional fat‐tree, k‐ary n‐tree for instance, the degree of root switches is less than that of other switches. Fat‐tree is a folded version of a Clos network. A Clos network uses the same degree switches in all stages. However, fat‐tree or Clos network has a high switch cost and great packet latency. This paper introduces a Mirrored K‐Ary N‐Tree (MiKANT) network and presents switch fault‐tolerant routing algorithms for it. Compared with k‐ary n‐trees and Clos networks, MiKANT connects more compute nodes with fewer switches and links so that it can be implemented at a lower hardware cost, it uses switches that have the same number of ports to keep the regularity, and it shortens the average distance to reduce the packet latency for achieving higher communication performance. We give three simple deadlock‐free switch fault‐tolerant routing algorithms for MiKANT and evaluate their performance. The simulation results show that the proposed algorithms achieve much higher performance than the shortest path routing algorithm. Although MiKANT uses fewer switches and links than fat‐tree, the simulation result shows that it has an almost the same successful routing ratio as the fat‐tree for the switch fault tolerance.

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3