Advances in Grid and Pervasive Computing: 7th International by Thepparit Banditwattanawong (auth.), Ruixuan Li, Jiannong

By Thepparit Banditwattanawong (auth.), Ruixuan Li, Jiannong Cao, Julien Bourgeois (eds.)

This e-book constitutes the refereed court cases of the seventh foreign convention on Grid and Pervasive Computing, GPC 2012, held in Hong Kong, China, in might 2012. The nine revised complete papers and 19 brief papers have been rigorously revised and chosen from fifty five submissions. they're prepared in topical sections on cloud computing, grid and repair computing, eco-friendly computing, cellular and pervasive computing, scheduling and function, and belief and protection. additionally integrated are four papers provided on the 2012 overseas Workshop on cellular Cloud and Ubiquitous Computing (Mobi-Cloud 2012) held along side GPC 2012.

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Extra info for Advances in Grid and Pervasive Computing: 7th International Conference, GPC 2012, Hong Kong, China, May 11-13, 2012. Proceedings

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These steps are repeated until requests exist. Hence, every request for the critical section is eventually granted. 4 Evaluation In this section, we compare the theoretical results and simulation results with varied number of nodes. We present detailed simulation results for the gossip-based mutual exclusion algorithm using the PeerSim simulator [22]. Afterwards, we experimentally analyze the performance results for the consecutive requests with dynamic membership behavior by adding or removing some number of nodes during gossip cycles.

60933002), the Natural Science Foundation of Hubei province (NO. 2011QN053 and 2011QN032), the Fundamental Research Funds for the Central Universities. References 1. edu/DiskSim/ 2. php/Storage/ 3. com/ec2/ 4. : pClock: an arrival curve based approach for QoS in shared storage systems. In: International Conference on Measurement and Modeling of Computer Systems, pp. 13–24 (2007) 5. : Dynamic resource allocation for spot markets in cloud computing environments. In: UCC 2011 (2011) 6. : mClock: Handling throughput variability for hypervisor IO scheduling.

13–24 (2007) 5. : Dynamic resource allocation for spot markets in cloud computing environments. In: UCC 2011 (2011) 6. : mClock: Handling throughput variability for hypervisor IO scheduling. In: 9th USENIX Symposium on Operating Systems Design and Implementation (October 2010) 7. : Nested QoS: providing flexible performance in shared IO environment. In: USENIX 3rd Workshop on IO Virtualization (June 2011) 8. : Storage performance virtualilzation via throughput and latency control. ACM Transactions on Storage, TOS (August 2006) 9.

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