@inproceedings{5a20cea5b6494778aa7f76ea7a22111b,
title = "Measuring throughput of data center network topologies",
abstract = "High throughput is a fundamental goal of network design. While myriad network topologies have been proposed to meet this goal, particularly in data center and HPC net- working, a consistent and accurate method of evaluating a design's throughput performance and comparing it to past proposals is conspicuously absent. In this work, we develop a framework to benchmark the throughput of network topolo- gies and apply this methodology to reveal insights about network structure. We show that despite being commonly used, cut-based metrics such as bisection bandwidth are the wrong metrics: they yield incorrect conclusions about the throughput performance of networks. We therefore measure ow-based throughput directly and show how to evaluate topologies with nearly-worst-case traffic matrices. We use the ow-based throughput metric to compare the through- put performance of a variety of computer networks. We have made our evaluation framework freely available to facilitate future work on design and evaluation of networks.",
keywords = "Network design, Throughput, Topology comparison",
author = "Jyothi, {Sangeetha Abdu} and Ankit Singla and Godfrey, {P. Brighten} and Alexandra Kolla",
year = "2014",
doi = "10.1145/2591971.2592040",
language = "English (US)",
isbn = "9781450327893",
series = "SIGMETRICS 2014 - Proceedings of the 2014 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems",
publisher = "Association for Computing Machinery",
pages = "597--598",
booktitle = "SIGMETRICS 2014 - Proceedings of the 2014 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems",
address = "United States",
note = "2014 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2014 ; Conference date: 16-06-2014 Through 20-06-2014",
}