Task Scheduling and Resource Allocation Using a Heuristic Approach In Cloud Computing

Authors(2) :-K. Durailingam, Dr.V.S. Prakash

Cloud computing is needed by trendy technology. Task planning and resource allocation are vital aspects of cloud computing. This paper proposes a heuristic approach that mixes the changed analytic hierarchy method (MAHP), bandwidth aware divisible scheduling (BATS) + BAR optimization, longest expected processing time preemption (LEPT), and divide-and-conquer strategies to perform task planning and resource allocation. During this approach, every task is processed before its actual allocation to cloud resources using a MAHP process. The resources are allocated victimization the combined haywire + BAR optimization methodology, that considers the information measure and cargo of the cloud resources as constraints. Additionally, the planned system preempts resource intensive tasks exploitation LEPT preemption. The divide-and-conquer approach improves the planned system, as is established by experimentation through comparison with the existing bats and improved differential evolution algorithmic rule (IDEA) frameworks once turnaround and time interval square measure used as performance metrics.

Authors and Affiliations

K. Durailingam
Indian Arts and Science College, Kondam, Tiruvannamalai, Tamil Nadu, India
Dr.V.S. Prakash
Indian Arts and Science College, Kondam, Tiruvannamalai, Tamil Nadu, India

Cloud computing, Task planning, Heuristic, Resource management, Analytic hierarchy system, BATS, BAR

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Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-03-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 71-81
Manuscript Number : CSEIT184313
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. Durailingam, Dr.V.S. Prakash, "Task Scheduling and Resource Allocation Using a Heuristic Approach In Cloud Computing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 3, pp.71-81, January-February.2018
URL : http://ijsrcseit.com/CSEIT184313

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