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Survey on Energy-Aware Cloud Computing Algorithms: A Review

R. Garg1

  1. Computer Science, Guru Nanak College, Moga, India.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 1095-1099, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.10951099

Online published on May 31, 2018

Copyright © R. Garg . 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: R. Garg, “Survey on Energy-Aware Cloud Computing Algorithms: A Review,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.1095-1099, 2018.

MLA Style Citation: R. Garg "Survey on Energy-Aware Cloud Computing Algorithms: A Review." International Journal of Computer Sciences and Engineering 6.5 (2018): 1095-1099.

APA Style Citation: R. Garg, (2018). Survey on Energy-Aware Cloud Computing Algorithms: A Review. International Journal of Computer Sciences and Engineering, 6(5), 1095-1099.

BibTex Style Citation:
@article{Garg_2018,
author = {R. Garg},
title = {Survey on Energy-Aware Cloud Computing Algorithms: A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {1095-1099},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2114},
doi = {https://doi.org/10.26438/ijcse/v6i5.10951099}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.10951099}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2114
TI - Survey on Energy-Aware Cloud Computing Algorithms: A Review
T2 - International Journal of Computer Sciences and Engineering
AU - R. Garg
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 1095-1099
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Cloud computing is an elastic model which is used to satisfied changing needs of users. It provides pay as you go services (PaaS, SaaS, and IaaS) to the users. The growing trend of cloud computing has raises the concern of energy efficiency in cloud computing because a data center consumes lots of energy and emits carbon-dioxide in the environment. Today, the main focus of researcher has been diverted from cloud resource management to energy management. Various algorithms on VM allocation, migration, task scheduling and load balancing have been developed to ensure minimum energy dissipation in cloud data center. The main focus of this paper is study the existing algorithms and to analysis the best algorithms.

Key-Words / Index Term

energy efficiency, vm-migration, load-balancing, vm-allocation

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