Abstract
Volatility is the key challenge of the desktop Grid platform and the character of volatility mainly depends on the daily behavior of computer user. In this paper, a trust model (TM-DG) based on Dempster-Shafer's (D-S) theory is presented to predict which node is more reliable according to users' daily behavior based on history information from a desktop Grid platform. In TM-DG, a trustworthy degree of a node is introduced to quantify the node's reliability. Using Dempster's rules of combination, it can be determined from two bodies of independent evidence: 1) percentage of completion of the allocated task, and 2) an active probe by a special test node. Simulations performed on a lightweight desktop Grid platform illustrate that TM-DG can make full use of the most reliable node for a given computation, leading to reductions in the communication overhead, and improvement in the computing power of the platform.
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