Generalized Spot-Checking for Reliable Volunteer Computing
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概要
- 論文の詳細を見る
While volunteer computing (VC) systems reach the most powerful computing platforms, they still have the problem of guaranteeing computational correctness, due to the inherent unreliability of volunteer participants. Spot-checking technique, which checks each participant by allocating spotter jobs, is a promising approach to the validation of computation results. The current spot-checking is based on the implicit assumption that participants never distinguish spotter jobs from normal ones; however generating such spotter jobs is still an open problem. Hence, in the real VC environment where the implicit assumption does not always hold, spot-checking-based methods such as well-known credibility-based voting become almost impossible to guarantee the computational correctness. In this paper, we generalize spot-checking by introducing the idea of imperfect checking. This generalization allows to guarantee the computational correctness under the situation that spot-checking is not fully-reliable and participants may distinguish spotter jobs. Moreover, we develop a generalized formula of the credibility, which enables credibility-based voting to utilize check-by-voting technique. Simulation results show that check-by-voting improves the performance of credibility-based voting, while guaranteeing the same level of computational correctness.
- (社)電子情報通信学会の論文
- 2010-12-01
著者
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Fukushi Masaru
Graduate School Of Information Sciences Tohoku University
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Watanabe Kan
Graduate School of Information Sciences, Tohoku University
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Watanabe Kan
Graduate School Of Information Sciences Tohoku University
関連論文
- Adaptive Group-Based Job Scheduling for High Performance and Reliable Volunteer Computing
- Expected-Credibility-Based Job Scheduling for Reliable Volunteer Computing
- Adaptive Group-Based Job Scheduling for High Performance and Reliable Volunteer Computing
- Generalized Spot-Checking for Reliable Volunteer Computing
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