Cloud Workflow Arrangement with Deadline and Point Period Accessibility

Authors(1) :-Aravind

Nowadays much attention has been paid on workflow scheduling in service computing environments (cloud computing, grid computing, Web services, etc). Resources are generally provided in the form of services, especially in cloud computing. Allocating service capacities in cloud computing is based on the idea that they're unlimited and may be used atany time. However, available service capacities change with workload and can't satisfy usersí requests at any time from the cloudproviderís perspective because cloud services are shared by multiple tasks. Cloud service suppliers provide available time slots for new userís requests based on available capacities. during this paper, we tend to consider workflow scheduling with deadline and time slot availability in cloud computing. An iterated heuristic framework is given for the problem under study that mainly consists ofinitial solution construction, improvement, and perturbation. 3 initial solution construction methods, 2 greedy- and fair-based improvement methods and a perturbation strategy are proposed. Totally different methods within the 3 phases end in many heuristics. Experimental results show that different initial solution and improvement strategies have different effects on solution qualities.

Authors and Affiliations

Aravind
MCA, Sri Padmavathi College Of Computer Sciences & Technology, Tiruchanoor, Andhra Pradesh, India

Workflow, Scheduling, Time slots, Cloud Computing

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1080-1083
Manuscript Number : CSEIT1833529
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aravind, "Cloud Workflow Arrangement with Deadline and Point Period Accessibility", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.1080-1083, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833529

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