Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2013
Abstract
High Level Architecture (HLA)-based simulations employing optimistic synchronization allows federates to process event and to advance simulation time freely at the risk of over-optimistic execution and execution rollbacks. In this paper, an adaptive resource provisioning system is proposed to accelerate optimistic HLA-based simulations in Virtual Execution Environment (VEE). A performance monitor is introduced using a middleware approach to measure the performance of individual federates transparently to the simulation application. Based on the performance measurements, a resource manager distributes the available computational resources to the federates, making them advance simulation time with comparable speeds. Our proposed approach is evaluated using a real-world simulation model with various workload inputs and different parameter settings. The experimental results show that, compared with distributing resources evenly among federates, our proposed approach can accelerate the simulation execution significantly using the same amount of computational resources.
Keywords
HLA-based Simulations, Optimistic Synchronization, Virtual Execution Environment, VM Scheduling, Cloud Computing
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, Montréal, Québec, Canada, 2013 May 19-22
First Page
211
Last Page
220
ISBN
9781450319201
Identifier
10.1145/2486092.2486119
Publisher
ACM New York
City or Country
Montréal, Québec, Canada
Citation
LI, Zengxiang; LI, Xiaorong; TA, Nguyen Binh Duong; CAI, Wentong; and TURNER, Stephen John.
Accelerating optimistic HLA-based simulations in virtual execution environments. (2013). Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, Montréal, Québec, Canada, 2013 May 19-22. 211-220.
Available at: https://ink.library.smu.edu.sg/sis_research/4769
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2486092.2486119