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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/2607
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Title: Mongoose : throughput redistributing virtual world
Authors: Oliver, Iain Angus
Miller, Alan Henry David
Allison, Colin
Keywords: Open Virtual Worlds
Network traffic
Quality of Experience
OpenSim
QA76 Computer software
Issue Date: 30-Jul-2012
Citation: Oliver , I A , Miller , A H D & Allison , C 2012 , ' Mongoose : throughput redistributing virtual world ' . in 2012 21st International Conference on Computer Communication Networks (ICCCN) : Proceedings . IEEE , pp. 1-9 , International Conference on Computer Communication Networks (ICCCN 2012) , Munich , Germany , 30-2 August .
conference
Abstract: Metaverses provide a framework for developing distributed 3D Internet applications where users gain presence through the proxy of an avatar. They offer much of the engagement of on line 3D games but support heterogeneous applications. From the network perspective metaverses are similar to games in that timeliness is important but differ in that their traffic is less regular and requires more bandwidth. The motivation for our study flows from using virtual worlds to support experiential learning and to promote cultural heritage; the applicability of the results is wider. The responsiveness of the system is effected by interactions between avatar activity, application traffic regulation and network conditions. Through measurement and analysis current virtual world traffic regulation is evaluated and compared with Transmission Control Protocol fair rate. The measurement study motivates the design of Mongoose, which adds measurement based packet regulation to open virtual world clients and servers. Mongoose combines isolating distinct functional components with efficient use of network esources and fairness to other traffic.
Version: Postprint
URI: http://hdl.handle.net/10023/2607
http://www.icccn.org/icccn12/index.html
DOI: http://dx.doi.org/10.1109/ICCCN.2012.6289297
ISBN: 978-1-4673-1543-2
Type: Conference item
Rights: © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher: IEEE
Appears in Collections:University of St Andrews Research
Computer Science Research
Centre for Higher Education Research (CHER) Research



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