Presentation 2014-07-29
A Job Scheduling Method Based on Completion Probability of Voting in Volunteer Computing
Yuto MIYAKOSHI, Kan WATANABE, Masaru FUKUSHI, Yasuyuki NOGAMI,
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Abstract(in English) This paper proposes a job scheduling method based on an expected probability of completion of voting in volunteer computing(VC) systems, in which participants may not return results. In a conventional method, the number of workers who receive the same job is the minimal to complete a voting. This is because the method does not consider worker's secession, which leads a considerable degradation of VC systems' performance. The key idea of the proposed method is to attempt to guarantee the completion probability of voting by estimating expected completion probability based on the probability of each worker's secession. Simulation results show that the performance of the proposed method is 5 times higher than that of the conventional method, while keeping the error rate lower than a required value.
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Keyword(in English) Parallel Computing / Desktop Grids / Probabilistic Method / Sabotage-Tolerance
Paper # DC2014-20
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Committee DC
Conference Date 2014/7/22(1days)
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Registration To Dependable Computing (DC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Job Scheduling Method Based on Completion Probability of Voting in Volunteer Computing
Sub Title (in English)
Keyword(1) Parallel Computing
Keyword(2) Desktop Grids
Keyword(3) Probabilistic Method
Keyword(4) Sabotage-Tolerance
1st Author's Name Yuto MIYAKOSHI
1st Author's Affiliation Graduate School of Natural Science and Technology, Okayama University()
2nd Author's Name Kan WATANABE
2nd Author's Affiliation Graduate School of Natural Science and Technology, Okayama University
3rd Author's Name Masaru FUKUSHI
3rd Author's Affiliation Graduate School of Science and Engineering, Yamaguchi University
4th Author's Name Yasuyuki NOGAMI
4th Author's Affiliation Graduate School of Natural Science and Technology, Okayama University
Date 2014-07-29
Paper # DC2014-20
Volume (vol) vol.114
Number (no) 156
Page pp.pp.-
#Pages 8
Date of Issue