A Dynamic Approach for Characterizing Collusion in Desktop Grids
CANON, Louis-Claude
Algorithms for the Grid [ALGORILLE]
Efficient runtime systems for parallel architectures [RUNTIME]
Algorithms for the Grid [ALGORILLE]
Efficient runtime systems for parallel architectures [RUNTIME]
JEANNOT, Emmanuel
Algorithms for the Grid [ALGORILLE]
Efficient runtime systems for parallel architectures [RUNTIME]
Algorithms for the Grid [ALGORILLE]
Efficient runtime systems for parallel architectures [RUNTIME]
CANON, Louis-Claude
Algorithms for the Grid [ALGORILLE]
Efficient runtime systems for parallel architectures [RUNTIME]
Algorithms for the Grid [ALGORILLE]
Efficient runtime systems for parallel architectures [RUNTIME]
JEANNOT, Emmanuel
Algorithms for the Grid [ALGORILLE]
Efficient runtime systems for parallel architectures [RUNTIME]
< Réduire
Algorithms for the Grid [ALGORILLE]
Efficient runtime systems for parallel architectures [RUNTIME]
Langue
en
Communication dans un congrès
Ce document a été publié dans
24th IEEE International Parallel and Distributed Processing Symposium - IPDPS 2010, 2010-04-19, Atlanta. 2010p. 1-12
IEEE
Résumé en anglais
By exploiting idle time on volunteer machines, desktop grids provide a way to execute large sets of tasks with negligible maintenance and low cost. Although desktop grids are attractive for cost-conscious projects, relying ...Lire la suite >
By exploiting idle time on volunteer machines, desktop grids provide a way to execute large sets of tasks with negligible maintenance and low cost. Although desktop grids are attractive for cost-conscious projects, relying on external resources may compromise the correctness of application execution due to the wellknown unreliability of nodes. In this paper, we consider the most challenging threat model: organized groups of cheaters that may collude to produce incorrect results. We propose two on-line algorithms for detecting collusion and characterizing the participant behaviors. Using several real-life traces, we show that our approach is accurate and efficient in identifying collusion and in estimating group behavior.< Réduire
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