E. Liu
Space-Time Matching Algorithms for Interest Management in Distributed Virtual Environments
Liu, E.; Theodoropoulos, G.
Authors
G. Theodoropoulos
Abstract
Interest management in Distributed Virtual Environments (DVEs) is a data-filtering technique designed to reduce bandwidth consumption and therefore enhances the scalability of the system. This technique usually involves a process called interest matching, which determines what data should be sent to the participants as well as what data should be filtered. Although most of the existing interest matching approaches have been shown to meet their runtime performance requirements, they have a fundamental disadvantage—they perform interest matching at discrete time intervals. As a result, they would fail to report events between discrete timesteps. If participants of the DVE ignore these missing events, they would most likely perform incorrect simulations. This article presents a new approach called space-time interest matching, which aims to capture the missing events between discrete timesteps. Although this approach requires additional matching effort, a number of novel algorithms are developed to significantly improve its runtime efficiency.
Citation
Liu, E., & Theodoropoulos, G. (2014). Space-Time Matching Algorithms for Interest Management in Distributed Virtual Environments. ACM Transactions on Modeling and Computer Simulation, 24(3), Article 15. https://doi.org/10.1145/2567922
Journal Article Type | Article |
---|---|
Publication Date | May 1, 2014 |
Deposit Date | Apr 21, 2016 |
Journal | ACM Transactions on Modeling and Computer Simulation |
Print ISSN | 1049-3301 |
Electronic ISSN | 1558-1195 |
Publisher | Association for Computing Machinery (ACM) |
Peer Reviewed | Peer Reviewed |
Volume | 24 |
Issue | 3 |
Article Number | 15 |
DOI | https://doi.org/10.1145/2567922 |
Public URL | https://durham-repository.worktribe.com/output/1406370 |
You might also like
Towards an Info-Symbiotic Decision Support System for Disaster Risk Management
(2015)
Presentation / Conference Contribution
Towards large-scale what-if traffic simulation with exact-differential simulation
(2015)
Presentation / Conference Contribution
Robust and Skew-resistant Parallel Joins in Shared-Nothing Systems
(2014)
Presentation / Conference Contribution
Design and evaluation of parallel hashing over large-scale data
(2014)
Presentation / Conference Contribution
Automated Dynamic Resource Provisioning and Monitoring in Virtualized Large-Scale Datacenter
(2014)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search