Abstract
Grid computing aims at integrating geographically distributed computers and providing ‘super-supercomputers’ that can be seamlessly accessed by users all over the world. In peer-to-peer grids, numerous tasks are distributed to grid nodes in a decentralized fashion. In this case, two issues of interest are suitable computing mechanisms and the global performance of the grid, specifically, the dynamics of task distribution and handling. To address these issues, in this paper we present an agent-based adaptive paradigm for peer-to-peer grids and further identify two typical scenarios corresponding to task distribution and handling in this paradigm. We provide two models to characterize the agent-based scenarios. Based on our characterizations, we identify the key features of, and the effects of, several important parameters on the dynamics of task distribution and handling in peer-to-peer grids.
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Jin, X., Liu, J., Yang, Z. (2005). The Dynamics of Peer-to-Peer Tasks: An Agent-Based Perspective. In: Moro, G., Bergamaschi, S., Aberer, K. (eds) Agents and Peer-to-Peer Computing. AP2PC 2004. Lecture Notes in Computer Science(), vol 3601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11574781_16
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DOI: https://doi.org/10.1007/11574781_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29755-0
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