Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking

Franklyn, Dsouza

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/18403

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DC Field	Value	Language
dc.contributor.advisor	Kirubarajan, Thia	-
dc.contributor.author	Franklyn, Dsouza	-
dc.date.accessioned	2015-10-14T17:31:27Z	-
dc.date.available	2015-10-14T17:31:27Z	-
dc.date.issued	2015-11	-
dc.identifier.uri	http://hdl.handle.net/11375/18403	-
dc.description.abstract	Big data is a term used to describe quantities of data that are too large to process using traditional means of data processing. The rise of such quantities of data amongst virtually every industry has lead to changes in data processing paradigms that favour distributed architectures over centralized processing. However great care must be taken when designing such processing architectures as slight overhead in computing or communication can nullify gains achieved from distributing computations. In this paper we discuss the theoretical elements involved in designing distributed systems and develop a heuristic for the performance of such a system. Our heuristic helps define when a problem requires distribution and informs designers in choosing the right topology to meet the needs of the problem and hardware involved. Finally we present results from our own distributed computing architecture applied to a prediction problem in radar image processing.	en_US
dc.language.iso	en	en_US
dc.title	Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking	en_US
dc.type	Thesis	en_US
dc.contributor.department	Electrical and Computer Engineering	en_US
dc.description.degreetype	Thesis	en_US
dc.description.degree	Master of Applied Science (MASc)	en_US
Appears in Collections:	Open Access Dissertations and Theses

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