Zhang, Xin, Ward, Tomas E. and McLoone, Seamus (2012) Comparison of Predictive Contract Mechanisms from an Information Theory Perspective. ACM Transactions on Multimedia Computing, Communications and Applications, 8 (2). 18.1-18.18. ISSN 1551-6857
Preview
TW-Comparison.pdf
Download (416kB) | Preview
Official URL: http://doi.acm.org/10.1145/2168996.2168998
Abstract
Inconsistency arises across a Distributed Virtual Environment due to network latency induced by state changes communications.
Predictive Contract Mechanisms (PCMs) combat this problem through reducing the amount of messages transmitted in return
for perceptually tolerable inconsistency. To date there are no methods to quantify the efficiency of PCMs in communicating
this reduced state information. This article presents an approach derived from concepts in information theory for a deeper
understanding of PCMs. Through a comparison of representative PCMs, the worked analysis illustrates interesting aspects of
PCMs operation and demonstrates how they can be interpreted as a form of lossy information compression.
Item Type: | Article |
---|---|
Additional Information: | The definitive version of this article is available at DOI: 10.1145/2168996.2168998 |
Keywords: | Measurements; Performance; Theory; Consistency; collaborative virtual environments; dead reckoning; distributed interactive applications; distributed interactive simulation; distributed virtual environments; networked multi-player computer games; networked virtual environments; predictive contract mechanisms; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 6743 |
Identification Number: | 10.1145/2168996.2168998 |
Depositing User: | Dr Tomas Ward |
Date Deposited: | 07 Jan 2016 17:03 |
Journal or Publication Title: | ACM Transactions on Multimedia Computing, Communications and Applications |
Publisher: | ACM |
Refereed: | Yes |
URI: | https://mu.eprints-hosting.org/id/eprint/6743 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year