Advances in computer technology and network technology provide a chance that multiple distributed computational resources can be shared by Internet to solve large-scale computing problems. In this paper, we focus on computational resources, and present an incentive sharing approach for this kind of resources in the autonomous environment. Firstly, we describe the sharing scenario, in which the barter auction mechanism is adopted and the deed is used to keep the trace of trades between different resource control domains. Then we discuss the evaluation methodology for testing the proposed approach. Thirdly, the auction schema is described, and the calling strategy and the responding strategy of auction are introduced. The simulation is performed based on the synthetic workloads to evaluate the performance of the auction strategies, and experimental results indicate that the barter auction method can allow computational resource domains to provide better computing service to their users. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Weng, C., Li, M., & Lu, X. (2008). An incentive approach for computational resource sharing in the autonomous environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5036 LNCS, pp. 104–115). https://doi.org/10.1007/978-3-540-68083-3_13
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