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Tricks of the Trade: Using mathematical techniques to quantify performace tradeoffs in networking applications. |
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Dr. Tara Small Department of Electrical and COmputer Engineering University of Toronto Toronto, ON |
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Wireless and mobile network technologies often impose severe resource limitations, resulting in poor and often unsatisfactory performance of the commonly used wireless networking protocols. For instance, power and memory/storage constraints of miniaturized network nodes reduce the throughput and increase the network latency. Through various approaches and technological advances, researchers attempt to compensate somehow for such hardware limitations. However, this is not always necessary. Sometimes, the required performance of such networks does not need to adhere to the level of services that would be required for performance-critical applications. For example, for some applications of sensor networks, minimal latency is not a critical factor and it could be traded off for a more limited resource, such as energy or throughput.
This talk will focus on tradeoffs in Delay Tolerant Networking (DTN) - a technology that addresses performance of "challenged" networks where there rarely exists a connected path between a source node and a destination node. Using the Shared Wireless Infostation Model (SWIM) as a sample strategy to mathematically represent a DTN, algorithms are developed to achieve different instances of the tradeoff between network resource usage and non-critical performance. The realization and efficiency of the model-based algorithms will be explored.
Dr. Tara Small is currently a Postdoctoral Fellow in the Department of Electrical and Computer Engineering at the University of Toronto. Tara studied Mathematics and Physics as an undergraduate at the University of New Brunswick, earning the Governor General's medal for highest standing in any discipline at the university at her graduation in 2000. In graduate school at Cornell University, Tara concentrated on Applied Mathematics, earning her M.S. in January 2004. With the support of an O'Brien Foundation Fellowship, she completed her Ph.D. dissertation the next year and received her Ph.D. degree in August 2005. Her current interest is the design of mathematical models for networks that are practical and durable enough to survive in the fast-growing field of mobile wireless networking.
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