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 ebook constitutes the refereed court cases of the second one overseas convention on Cloud Computing and large 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; substantial info and social community; safeguard and privacy.

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Read Online 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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Sample text

For each case, we find 2 or 3 atypical VM. We recall that we define a VM with atypical behavior, a VM that doesn’t have the same profile as others. Graphically, these VM are represented by separated points. To illustrate this fact, taking for examples Fig. 7(b), (c), (d), (e) and (h). We notice a highly isolated point. These are points with coordinates (165,395) for DC02, (152,561) for DC03, (866,169) for DC04, (677,160) for DC05 and (0,998) for DC08. Here, we have atypical VM, not belonging to any group.

1 The Initial Schedule Generating and Comparative Algorithms We choose two state-of-the-art scheduling algorithms in the literature to generate initial schedules: IC-PCP and IC-PCPD2. Both of them are designed for billing cycle charged IaaS cloud. The schedules generated by them meet deadline constraint. To evaluate the performance of IC-SC algorithm, both IC-PCP and IC-PCPD2 are also taken as comparative algorithms. 2 Experimental Workflows Figure 1(a) and (b) shows the approximate structures of selected workflows we choose from [12] to evaluate the performance of our algorithm.

The resources in Rc are selected firstly. If the insertion fails, resources in Rs are selected. 22 F. Wu et al. Algorithm 1. The IC- -SC Algorithm Input: S: the schedule to be compacted; makespan : the makespan of schedule S; D : the deadline, if required, for G. Output: S : a new schedule after compaction of S. 1: if deadline is required then 2: LST (texit ) = D 3: else 4: LST (texit ) = makespan 5: end if 6: update the LST s and LF T s of all tasks in T ; 7: while has an unprocessed split do 8: split ← nextSplit(); 9: call for compact(split); 10: end while After the insertion attempt of all tasks in selected split, there are 2 cases.

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