A practical, flexible, versatile, and heterogeneous distributed computing framework is presented that simplifies the creation of small-scale local distributed computing networks for the execution of computationally expensive black-box analyses. The framework is called the Dynamic Service-oriented Optimization Computing Framework (DSOCF), and is designed to parallelize black-box computation to speed up optimization runs. It is developed in Java and leverages the Apache River project, which is a dynamic Service-Oriented Architecture (SOA). A roulette-based real-time load balancing algorithm is implemented that supports multiple users and balances against task priorities, which is superior to the rigid pre-set wall clock limits commonly seen in grid computing. The framework accounts for constraints on resources and incorporates a credit-based system to ensure fair usage and access to computing resources. Experimental testing results are shown to demonstrate the effectiveness of the framework.
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ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 17–20, 2014
Buffalo, New York, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-4632-2
PROCEEDINGS PAPER
A Dynamic Service-Oriented Distributed Computing Framework for Evaluation of Computationally Expensive Black-Box Analyses
George H. Cheng,
George H. Cheng
Simon Fraser University, Surrey, BC, Canada
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Chao Qi,
Chao Qi
Shaanxi Normal University, Xi’an, Shaanxi, China
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G. Gary Wang
G. Gary Wang
Simon Fraser University, Surrey, BC, Canada
Search for other works by this author on:
George H. Cheng
Simon Fraser University, Surrey, BC, Canada
Chao Qi
Shaanxi Normal University, Xi’an, Shaanxi, China
G. Gary Wang
Simon Fraser University, Surrey, BC, Canada
Paper No:
DETC2014-35308, V02BT03A035; 8 pages
Published Online:
January 13, 2015
Citation
Cheng, GH, Qi, C, & Wang, GG. "A Dynamic Service-Oriented Distributed Computing Framework for Evaluation of Computationally Expensive Black-Box Analyses." Proceedings of the ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2B: 40th Design Automation Conference. Buffalo, New York, USA. August 17–20, 2014. V02BT03A035. ASME. https://doi.org/10.1115/DETC2014-35308
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