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Adaptive Control of Redundant Task Execution for Dependable Volunteer Computing

Adaptive Control of Redundant Task Execution for Dependable Volunteer Computing

Hong Wang, Yoshitomo Murata, Hiroyuki Takizawa, Hiroaki Kobayashi
Copyright: © 2011 |Pages: 20
ISBN13: 9781609606039|ISBN10: 1609606035|EISBN13: 9781609606046
DOI: 10.4018/978-1-60960-603-9.ch009
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MLA

Wang, Hong, et al. "Adaptive Control of Redundant Task Execution for Dependable Volunteer Computing." Cloud, Grid and High Performance Computing: Emerging Applications, edited by Emmanuel Udoh, IGI Global, 2011, pp. 135-154. https://doi.org/10.4018/978-1-60960-603-9.ch009

APA

Wang, H., Murata, Y., Takizawa, H., & Kobayashi, H. (2011). Adaptive Control of Redundant Task Execution for Dependable Volunteer Computing. In E. Udoh (Ed.), Cloud, Grid and High Performance Computing: Emerging Applications (pp. 135-154). IGI Global. https://doi.org/10.4018/978-1-60960-603-9.ch009

Chicago

Wang, Hong, et al. "Adaptive Control of Redundant Task Execution for Dependable Volunteer Computing." In Cloud, Grid and High Performance Computing: Emerging Applications, edited by Emmanuel Udoh, 135-154. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-603-9.ch009

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Abstract

On the volunteer computing platforms, inter-task dependency leads to serious performance degradation for failed task re-execution because of volatile peers. This paper discusses a performance-oriented task dispatch policy based on the failure probability estimation. The tasks with the highest failure probabilities are selected for dispatch when multiple task enquiries come to the dispatcher. The estimated failure probability is used to find the optimized task assignment that minimizes the overall failure probability of these tasks. This performance-oriented task dispatch policy is evaluated with two real world trace data sets on a simulator. Evaluation results demonstrate the effectiveness of this policy.

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