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  • 标题:FREQUENT DATA UPDATING USING RANDOM CHECKPOINTING ARRANGEMENT IN DECENTRALIZED MOBILE GRID COMPUTING
  • 作者:MR. S. P. SANTHOSHKUMAR ; MR. D. PRABAKAR ; DR. S. KARTHIK
  • 期刊名称:International Journal of Reviews in Computing
  • 印刷版ISSN:2076-3328
  • 电子版ISSN:2076-3336
  • 出版年度:2014
  • 卷号:13
  • 出版社:Little Lion Scientific Research and Developement
  • 摘要:This Paper deals with an autonomic, decentralized, QoSaware, middleware, whose function is to establish checkpointing arrangements among MHs dynamically within the MoG, allowing its constituent MHs to support practical collaborative computation. As wireless links are less reliable and MHs move at will, a given job executed by multiple MHs collaboratively, relies on efficient checkpointing to enable execution recovery upon a MoG component failure by transferring recently saved intermediate data and machine states to a substitute MoG component, so that execution can resume from the last checkpoint, saved prior to the failure. Our checkpointing methodology requires no BS to achieve its function as checkpointing is handled within the MoG by keeping checkpointed data from a given MH at immediate neighboring MHs. Our methodology also facilitates encapsulation of the checkpointing function within the MoG, making it transparent to the wired-Grid or mobile client being served. Thus, in order to limit the use of relatively unreliable wireless links, and further to minimize the consumption of wireless host’s memory resources and energy, each MH sends its checkpointed data to one selected neighboring MH, and also serves to take checkpointed data from one approved neighboring MH, realizing a decentralized form of checkpointing. It provides implications for resource scheduling, checkpoint interval control, and application QoS level negotiation. It fills a novel niche component of the ever developing field of MoG middleware, by proposing and demonstrating how QoS-aware functionality can be practically and efficiently added.
  • 关键词:Checkpointing; computational Grids; Mobile Grid systems; Decentralized Checkpointing; Bayesian Estimation; Grid Computing; Mobile Computing
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