Coping with network failures

Author:

Applegate David1,Breslau Lee1,Cohen Edith1

Affiliation:

1. AT&T Labs--Research, Florham Park, NJ

Abstract

Link and node failures in IP networks pose a challenge for network control algorithms. Routing restoration, which computes new routes that avoid failed links, involves fundamental tradeoffs between efficient use of network resources, complexity of the restoration strategy and disruption to network traffic. In order to achieve a balance between these goals, obtaining routings that provide good performance guarantees under failures is desirable.In this paper, building on previous work that provided performance guarantees under uncertain (and potentially unknown) traffic demands, we develop algorithms for computing optimal restoration paths and a methodology for evaluating the performance guarantees of routing under failures. We then study the performance of route restoration on a diverse collection of ISP networks. Our evaluation uses a competitive analysis type framework, where performance of routing with restoration paths under failures is compared to the best possible performance on the failed network. We conclude that with careful selection of restoration paths one can obtain restoration strategies that retain nearly optimal performance on the failed network while minimizing disruptions to traffic flows that did not traverse the failed parts of the network.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic;Future Generation Computer Systems;2024-12

2. Flexile;Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies;2022-11-30

3. Jupiter evolving;Proceedings of the ACM SIGCOMM 2022 Conference;2022-08-22

4. On the Competitiveness of Oblivious Routing: A Statistical View;Applied Sciences;2021-10-11

5. PCF;Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication;2020-07-30

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