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Title: Job scheduling algorithm in cloud environment considering the priority and cost of job
Authors: Kumar M.
Dubey K.
Sharma, Subhash Chander
Das K.N.
Pant M.
Deep K.
Bansal J.C.
Lal A.K.
Garg H.
Nagar A.K.
Published in: Advances in Intelligent Systems and Computing
Proceedings of 6th International Conference on Soft Computing for Problem Solving, SocProS 2016
Abstract: Distribution of work load (job) among the virtual machine is one of the challenging issues in cloud environment. It is very difficult to predict the execution time of job in cloud computing. So Cloud job scheduler should be dynamic in nature and distribute the job among the virtual machine in such a manner, no virtual machine should be in overloaded or ideal condition. We proposed an algorithm considering the priority of jobs and cost of resource. Job priority and cost of resources is major issue to establish a cloud environment for enterprises. For better quality of service and utilization of resources IBA algorithm is suited for this purpose. Result shows that IBA minimize the idle time of resources but IBA does not provide the guarantee for handling job priority and cost of the resource. So there is a need of job scheduling algorithm that considers job priority and recourse cost. © Springer Nature Singapore Pte Ltd. 2017.
Citation: Advances in Intelligent Systems and Computing (2017), 547: 313-320
Issue Date: 2017
Publisher: Springer Verlag
Keywords: Job scheduling
Load balancing
Virtual machine
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 56243664000
Author Affiliations: Kumar, M., Indian Institute of Technology Roorkee, Roorkee, India
Dubey, K., Indian Institute of Technology Roorkee, Roorkee, India
Sharma, S.C., Indian Institute of Technology Roorkee, Roorkee, India
Corresponding Author: Kumar, M.; Indian Institute of Technology RoorkeeIndia; email:
Appears in Collections:Conference Publications [PT]

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