Download Cloud Computing and Big Data: Second International by Weizhong Qiang, Xianghan Zheng, Ching-Hsien Hsu PDF

By Weizhong Qiang, Xianghan Zheng, Ching-Hsien Hsu

This publication constitutes the refereed court cases of the second one foreign convention on Cloud Computing and massive info, CloudCom-Asia 2015, held in Huangshan, China, in June 2015.

The 29 complete papers and keynote speeches have been conscientiously reviewed and chosen from 106 submissions. The papers are prepared in topical sections on cloud structure; purposes; enormous facts and social community; defense and privacy.

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Read or Download Cloud Computing and Big Data: Second International Conference, CloudCom-Asia 2015, Huangshan, China, June 17-19, 2015, Revised Selected Papers PDF

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Additional info for Cloud Computing and Big Data: Second International Conference, CloudCom-Asia 2015, Huangshan, China, June 17-19, 2015, Revised Selected Papers

Sample text

E. there exists a sequence of points between P and Q, the distance between them is less than the threshold. This iterative approach built partitions by merging them in order to obtain the largest. The advantage of this approach is that it doesn’t require fixing the number of partitions in advance and it’s relatively efficient in computation time. In contrast, the density threshold is difficult to determine. Algorithms based on a grid such as BANG [8] seek to divide the space into cells then group the closest.

Then, the start time st(rl ) and termination time f t(rl ) of a resource rl are calculated {STtril }, f t(rl ) = max {F Ttril }. And, the rounded up lease as: st(rl ) = min r r mt l ∈M i mt l ∈M i time lt(rl ) for rl is set with the minimal integer multiples of billing cycle length τ : l) × τ. lt(rl ) = f t(rl )−st(r τ 1 rt(rl ) is the resource type of resource rl . Schedule Compaction and Deadline Constrained DAG Scheduling 19 For a generated schedule S, the makespan is the overall schedule length.

Resource selection. It determines which resource the selected task is assigned to. The IC-PCPD2 algorithm always selects the cheapest resource, either an existing resource or a new one. , both IC-PCP and IC-PCPD2 have a promising performance, with IC-PCP performing better than IC-PCPD2 in most cases. However, the IC-PCP needs to schedule all tasks on PCP to the same resource. Moreover, the position of PCP task are limited on assigned resource. To utilize the bin-package idea of IC- -SC, we propose a deadline constrained DAG scheduling heuristic, named IC-SC.

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