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Matching algorithms for interest management in distributed virtual environments

Liu, Sze-Yeung (2012)
Ph.D. thesis, University of Birmingham.

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Abstract

Interest management in distributed virtual environments (DVEs) is a data filtering technique which is designed to reduce bandwidth consumption and therefore enhances the scalability of the system. This technique usually involves a process called “interest matching", which determines what data should be sent to the participants as well as what data should be filtered. This thesis surveys the state of the art in interest management systems and defines three major design requirements. Based on the requirement analysis, it can be summarised that most of the existing interest matching approaches are developed to solve the trade-off between runtime efficiency and filtering precision. Although these approaches have been shown to meet their runtime performance requirements, they have a fundamental disadvantage - they perform interest matching at discrete time intervals. As a result, they would fail to report events between discrete time-steps. If participants of the DVE ignore these missing events, they would most likely perform incorrect simulations. This thesis presents a new approach called space-time interest matching, which aims to capture the missing events between discrete time-steps. Although this approach requires additional matching effort, a number of novel algorithms are developed to significantly improve its runtime efficiency through the exploitation of parallelism

Type of Work:Ph.D. thesis.
Supervisor(s):Theodoropoulos, Georgios K. and Styles, Iain B
School/Faculty:Colleges (2008 onwards) > College of Engineering & Physical Sciences
Department:School of Computer Science
Subjects:QA76 Computer software
Institution:University of Birmingham
ID Code:3710
This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder.
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