NDLI: Spatiotemporal Traffic Matrix Synthesis

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Spatiotemporal Traffic Matrix Synthesis

Content Provider	ACM Digital Library
Author	Tune, Paul Roughan, Matthew
Abstract	Traffic matrices describe the volume of traffic between a set of sources and destinations within a network. These matrices are used in a variety of tasks in network planning and traffic engineering, such as the design of network topologies. Traffic matrices naturally possess complex spatiotemporal characteristics, but their proprietary nature means that little data about them is available publicly, and this situation is unlikely to change. Our goal is to develop techniques to synthesize traffic matrices for researchers who wish to test new network applications or protocols. The paucity of available data, and the desire to build a general framework for synthesis that could work in various settings requires a new look at this problem. We show how the principle of maximum entropy can be used to generate a wide variety of traffic matrices constrained by the needs of a particular task, and the available information, but otherwise avoiding hidden assumptions about the data. We demonstrate how the framework encompasses existing models and measurements, and we apply it in a simple case study to illustrate the value.
Ending Page	592
Page Count	14
Starting Page	579
File Format	WebM PDF WAV
ISBN	9781450335423
DOI	10.1145/2785956.2787471
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-08-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Network design Spatiotemporal modeling Traffic engineering Traffic matrix synthesis Maximum entropy
Content Type	Audio Text
Resource Type	Article

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