Affiliation:
1. Yale University
2. University of Texas at Austin
3. AT&T Labs - Research
Abstract
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.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Software
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