MURAL - Maynooth University Research Archive Library



    Formalizing a Framework for Dynamic Hybrid Strategy Models in Distributed Interactive Applications


    McCoy, Aaron, Ward, Tomas E., McLoone, Seamus and Delaney, Declan (2006) Formalizing a Framework for Dynamic Hybrid Strategy Models in Distributed Interactive Applications. In: Proceedings of the IET Irish Signals and Systems Conference, June 28-30, 2006, Dublin, Ireland.

    [thumbnail of TWFormalizing_a_Framework(First_Draft).pdf] PDF
    TWFormalizing_a_Framework(First_Draft).pdf
    Available under License Creative Commons Attribution Non-commercial.

    Download (96kB)

    Abstract

    Predictive contract mechanisms such as dead reckoning are widely employed to support scalable remote entity modelling in Distributed Interactive Applications (DIAs). By employing a form of controlled inconsistency, a reduction in network traffic is achieved. Previously, we have proposed the Dynamic Hybrid Strategy Model (DHSM) as an extension to the concept of dead reckoning that adaptively selects extrapolation models based on the use of local performance criteria. In this paper, we formalize the notion of the DHSM as a generalized framework for network traffic reduction in DIAs, alongside a set of consistency metrics for use as local performance criteria.
    Item Type: Conference or Workshop Item (Paper)
    Keywords: distributed interactive applications; predictive contract mechanisms; dead reckoning; consistency; scalability;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 1311
    Depositing User: Dr Tomas Ward
    Date Deposited: 25 Mar 2009 15:07
    Refereed: Yes
    URI: https://mural.maynoothuniversity.ie/id/eprint/1311
    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)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads