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    Comparison of Predictive Contract Mechanisms from an Information Theory Perspective


    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

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    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

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