By Thepparit Banditwattanawong (auth.), Ruixuan Li, Jiannong Cao, Julien Bourgeois (eds.)
This e-book constitutes the refereed lawsuits of the seventh overseas convention on Grid and Pervasive Computing, GPC 2012, held in Hong Kong, China, in may possibly 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 defense. additionally integrated are four papers offered on the 2012 foreign Workshop on cellular Cloud and Ubiquitous Computing (Mobi-Cloud 2012) held together with GPC 2012.
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Additional info for Advances in Grid and Pervasive Computing: 7th International Conference, GPC 2012, Hong Kong, China, May 11-13, 2012. Proceedings
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. In: 9th USENIX Symposium on Operating Systems Design and Implementation (October 2010) 7. : Nested QoS: providing ﬂexible performance in shared IO environment.
This approach has been justified by . Furthermore, the communication model is asynchronous. In other words, a sender does not have to wait for acknowledgements of receivers (non-blocking). When we consider the dynamic scenario regarding node failures, the fail-stop model is conceived, that is, other processes can learn about whether processes are failed. 2 Specifications of the Problem Mutual Exclusion is a fundamental problem in distributed systems; it is not an exception in the cloud computing systems.
First, we detect the ﬂows that had utilized spare capacity. This is indicated by a minimum start tag that lags current time. If there are such ﬂows, their minimum start tags are adjusted to current time, preventing them from being penalized in the future. Second, if a request arrives in an idle ﬂow, we grant it equal chances to be scheduled. This is done by adjusting all the priority tags with an identical shift so that the minimum priority tags of all the ﬂows starts from current time. AssignTags: pCloud algorithm assigns three tags to arriving requests, start tags, ﬁnish tags, and priority tags.