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dc.contributor.authorBenson, Theophilus Aen_US
dc.contributor.authorAkella, Adityaen_US
dc.contributor.authorZhang, Mingen_US
dc.date.accessioned2012-03-15T17:24:39Z
dc.date.available2012-03-15T17:24:39Z
dc.date.created2009en_US
dc.date.issued2009en_US
dc.identifier.citationTR1666en_US
dc.identifier.urihttp://digital.library.wisc.edu/1793/60694
dc.description.abstractData center traffic characteristics are not well understood. In particular, it is not clear how the prevalent traffic patterns may impact candidate mechanisms for managing traffic inside the data centers. In this paper, we conduct a measurement study of network-level traffic patterns inside data centers. Based on our empirical insights, we design a traffic generator for creating representative workloads for traffic between TOR switches in a data center. We use this generator to evaluate several traffic engineering techniques and data center network architectures, and analyze their short comings. Our findings highlight the need for fine-grained traffic engineering (TE) mechanisms. We design and implement such an approach using OpenFlow and show how it can significantly improve data center TE.en_US
dc.format.mimetypeapplication/pdfen_US
dc.publisherUniversity of Wisconsin-Madison Department of Computer Sciencesen_US
dc.titleThe Case for Fine-Grained Traffic Engineering in Data Centersen_US
dc.typeTechnical Reporten_US


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    Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison

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