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Resource Scheduling in Cloud: A Comparative Study

Bhupesh Kumar Dewangan1 , Amit Agarwal2 , Venkatadri M3 , Ashutosh Pasricha4

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-8 , Page no. 168-173, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i8.168173

Online published on Aug 31, 2018

Copyright © Bhupesh Kumar Dewangan, Amit Agarwal, Venkatadri M, Ashutosh Pasricha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Bhupesh Kumar Dewangan, Amit Agarwal, Venkatadri M, Ashutosh Pasricha, “Resource Scheduling in Cloud: A Comparative Study,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.168-173, 2018.

MLA Style Citation: Bhupesh Kumar Dewangan, Amit Agarwal, Venkatadri M, Ashutosh Pasricha "Resource Scheduling in Cloud: A Comparative Study." International Journal of Computer Sciences and Engineering 6.8 (2018): 168-173.

APA Style Citation: Bhupesh Kumar Dewangan, Amit Agarwal, Venkatadri M, Ashutosh Pasricha, (2018). Resource Scheduling in Cloud: A Comparative Study. International Journal of Computer Sciences and Engineering, 6(8), 168-173.

BibTex Style Citation:
@article{Dewangan_2018,
author = {Bhupesh Kumar Dewangan, Amit Agarwal, Venkatadri M, Ashutosh Pasricha},
title = {Resource Scheduling in Cloud: A Comparative Study},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {168-173},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2672},
doi = {https://doi.org/10.26438/ijcse/v6i8.168173}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.168173}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2672
TI - Resource Scheduling in Cloud: A Comparative Study
T2 - International Journal of Computer Sciences and Engineering
AU - Bhupesh Kumar Dewangan, Amit Agarwal, Venkatadri M, Ashutosh Pasricha
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 168-173
IS - 8
VL - 6
SN - 2347-2693
ER -

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Abstract

Cloud computing provides a platform where services are facilitating to the cloud user through the web, either free of cost or lease base. The cloud user and demands are increasing, due to this large number of service request are submitting to the cloud service provider. To manage those service requests, scheduling plays a key role for the service provider to manage their resource and operational cost. In this paper, the state of art survey has been carried out on recent developments in resource scheduling algorithms for cloud computing. This paper provides the comparative analysis of all the surveyed algorithms in terms of different performance metrics. The observation of the survey provides some research gaps to improve the efficiency of the existing resource management system.

Key-Words / Index Term

Cloud Computing, Resource Scheduling, Performance, Efficiency

References

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