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Modelling Event Communication to Enable Adaptive Behaviour in Resource- Constrained Distributed Virtual Environments

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Workman, S., Parr, GP, Morrow, PJ and Charles, DK (2006) Modelling Event Communication to Enable Adaptive Behaviour in Resource- Constrained Distributed Virtual Environments. In: International Conference on Autonomic and Autonomous Systems, 2006 (ICAS 2006) . IEEE Computer Society. 6 pp. [Conference contribution]

Full text not available from this repository.

URL: http://dx.doi.org/10.1109/ICAS.2006.36

DOI: doi:10.1109/ICAS.2006.36

Abstract

In this paper we propose a model of event communication to be used in an adaptive, resource-aware mobile multimedia application. Distributed virtual environments (DVEs) must employ application layer adaptation to deal with the variable resource availability of wireless networks and client devices. To enable such adaptation, we propose a model of typical DVE event traffic which is based on the available and required resources as seen at the application level. Building upon existing research which takes overall traffic characteristics into consideration, our model introduces the individual event streams and their effect on the overall network resource requirements (bandwidth, delay and packet loss). The model is evaluated using traffic analysis from a typical multiplayer game (Quake II). We conclude by discussing the importance of the proposed model within the framework of a resource-aware, adaptive DVE system, highlighting the implications for wireless communication

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:13576
Deposited By:Professor Philip Morrow
Deposited On:04 May 2010 10:04
Last Modified:06 Jul 2011 14:46

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