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Modern Approaches To Cloud Scheduling

A. Upadhyay1 , R. Thakur2 , A. Thakur3

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1072-1079, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.10721079

Online published on Jun 30, 2018

Copyright © A. Upadhyay, R. Thakur, A. Thakur . 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: A. Upadhyay, R. Thakur, A. Thakur , “Modern Approaches To Cloud Scheduling,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1072-1079, 2018.

MLA Style Citation: A. Upadhyay, R. Thakur, A. Thakur "Modern Approaches To Cloud Scheduling." International Journal of Computer Sciences and Engineering 6.6 (2018): 1072-1079.

APA Style Citation: A. Upadhyay, R. Thakur, A. Thakur , (2018). Modern Approaches To Cloud Scheduling. International Journal of Computer Sciences and Engineering, 6(6), 1072-1079.

BibTex Style Citation:
@article{Upadhyay_2018,
author = {A. Upadhyay, R. Thakur, A. Thakur },
title = {Modern Approaches To Cloud Scheduling},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1072-1079},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2302},
doi = {https://doi.org/10.26438/ijcse/v6i6.10721079}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.10721079}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2302
TI - Modern Approaches To Cloud Scheduling
T2 - International Journal of Computer Sciences and Engineering
AU - A. Upadhyay, R. Thakur, A. Thakur
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1072-1079
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

Many important real world problems are computationally “hard” and one of those is cloud scheduling. There are various approaches to cloud scheduling, but in recent time scheduling strategies based on heuristics and metaheuristics are gaining popularity because of their performance. Especially important metaheuristics are nature inspired metaheuristics which have been proved to be very efficient in solving hard problems. These metaheuristics are inspired by natural phenomenon and simulate them in an algorithmic manner. In this paper, we describe those methods and present their successful applications in cloud scheduling problem. We will also describe the formal statement of the problem so that a reader can directly correlate the algorithms with applications below.

Key-Words / Index Term

Nature inspired algorithms; Optimization; Genetic algorithm; Cuckoo search optimization; Particle swarm optimization; Ant colony optimization; Cloud scheduling problem

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