COPE: Traffic engineering in dynamic networks

被引：91

作者：

Wang, Hao ^{[1
]}

Xie, Haiyong

Qiu, Lili

Yang, Yang Richard

Zhang, Yin

Greenberg, Albert

机构：

[1] AT&T Labs Res, Florham Pk, NJ 07932 USA

[2] Univ Texas, Austin, TX 78712 USA

[3] Yale Univ, New Haven, CT 06520 USA

来源：

ACM SIGCOMM COMPUTER COMMUNICATION REVIEW | 2006年 / 36卷 / 04期

关键词：

algorithms; design; management; performance; reliability; COPE; traffic engineering; unpredictable traffic; optimization; oblivious routing;

D O I：

10.1145/1151659.1159926

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traffic engineering plays a critical role in determining the performance and reliability of a network. A major challenge in traffic engineering is how to cope with dynamic and unpredictable changes in traffic demand. In this paper, we propose COPE, a class of traffic engineering algorithms that optimize for the expected scenarios while providing a worst-case guarantee for unexpected scenarios. Using extensive evaluations based on real topologies and traffic traces, we show that COPE can achieve efficient resource utilization and avoid network congestion in a wide variety of scenarios.

引用

页码：99 / 110

页数：12