Optimizing update scheduling parameters for distributed virtual environments supporting operational test
Document Type
Article
Publication Date
4-25-2021
Abstract
Distributed virtual environments provide a shared sense of time and space to geographically distributed users. They depend on a limited ability to ensure system nodes at different locations maintain consistent state data. This paper presents system models and algorithms designed to find optimal update scheduling parameters that minimize the effects of inconsistent simulation state data. The first model is concerned with ensuring distributed virtual environments that present a fair experience to all users while simultaneously providing adequate levels of system performance. In the second model, we introduce the concept of plausibility limits and address their use in ensuring all participants in an interaction to see the same result.
DOI
Source Publication
Concurrency and Computation: Practice and Experience (ISSN 1532-0626 | eISSN 1532-0634)
Recommended Citation
Millar, J. R., Hodson, D., Peterson, G., & Ahner, D. (2021). Optimizing update scheduling parameters for distributed virtual environments supporting operational test. Concurrency and Computation: Practice and Experience, 33(8), e4156. https://doi.org/10.1002/cpe.4156
Comments
This article was published in a Special Issue of the source journal covering these events: 2018 International conference on Cloud Edge Computing, big data and Blockchain (ICCBB2018) ; Knowledge Engineering in concurrent and Intelligent Applications (KEIA2018) ; Distributed Large Scale Applications and Environments (LSDVE2018) ; Trends and Advances in Collaboration Technologies and Systems (TA_CTS).
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Co-author J. R. Millar was an AFIT PhD candidate at the time of this article's initial publication on the Wiley portal (14 June 2017). (AFIT-ENG-DS-17-S-015, September 2017)