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Comparative Architecture and Algorithm Study for Energy-aware Social Networking Virtualized Data Centers

Prashantkumar Oza1 , Dipesh Kamdar2 , Nikhil Patel3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-11 , Page no. 141-144, Nov-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i11.141144

Online published on Nov 30, 2019

Copyright © Prashantkumar Oza, Dipesh Kamdar, Nikhil Patel . 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: Prashantkumar Oza, Dipesh Kamdar, Nikhil Patel, “Comparative Architecture and Algorithm Study for Energy-aware Social Networking Virtualized Data Centers,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.11, pp.141-144, 2019.

MLA Style Citation: Prashantkumar Oza, Dipesh Kamdar, Nikhil Patel "Comparative Architecture and Algorithm Study for Energy-aware Social Networking Virtualized Data Centers." International Journal of Computer Sciences and Engineering 7.11 (2019): 141-144.

APA Style Citation: Prashantkumar Oza, Dipesh Kamdar, Nikhil Patel, (2019). Comparative Architecture and Algorithm Study for Energy-aware Social Networking Virtualized Data Centers. International Journal of Computer Sciences and Engineering, 7(11), 141-144.

BibTex Style Citation:
@article{Oza_2019,
author = {Prashantkumar Oza, Dipesh Kamdar, Nikhil Patel},
title = {Comparative Architecture and Algorithm Study for Energy-aware Social Networking Virtualized Data Centers},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2019},
volume = {7},
Issue = {11},
month = {11},
year = {2019},
issn = {2347-2693},
pages = {141-144},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4957},
doi = {https://doi.org/10.26438/ijcse/v7i11.141144}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i11.141144}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4957
TI - Comparative Architecture and Algorithm Study for Energy-aware Social Networking Virtualized Data Centers
T2 - International Journal of Computer Sciences and Engineering
AU - Prashantkumar Oza, Dipesh Kamdar, Nikhil Patel
PY - 2019
DA - 2019/11/30
PB - IJCSE, Indore, INDIA
SP - 141-144
IS - 11
VL - 7
SN - 2347-2693
ER -

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Abstract

Cloud computing is an internet based computing technology that provide on demand computing for end users. Normally, data centers allocation for application on statically based. But today so many data centers have a problem how to reduce energy consumption? Due to increase use of cloud services and infrastructure by various cloud providers, uses of energy day by day increase that’s why energy consumption increase lots. Large numbers of data centers that consume lots of energy which increase the level of co2. For decrease energy consumption of data centers need to develop efficient VM migration algorithm which will provide utilization of the VM. Energy conservation then becomes essential, in order to decrease operation costs and increase the system reliability. Using VM consolidation and VM migration data centers per- form efficient energy saving. In this paper discuss Comparative Architecture and Algorithm Study for Energy-aware Social Networking Virtualized Data Centers.

Key-Words / Index Term

Cloud Computing, Virtualization, Allocation of virtual machines, Quality Of Service (QoS), Energy Aware VM Allocation, Social Networking

References

[1] Eugen Feller, Louis Rilling, Christine Morin, Energy-Aware Ant Colony Based Workload Placement in Clouds, INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE, ISSN 0249-6399, inria-00594992, version 1
- 23 May 2011.
[2] Si-Yuan Jing, Shahzad Ali, Kun She,Yi Zhong, State-of-the- art research study for green cloud computing, The journal of super computing, Springer, July 2013.
[3] P.Mell, and T. Grance, The NIST defination of cloud computing, Special publications 800-145, 2013.
[4] Rajkumar Buyya, Anton Beloglazov and Jemal Abawajy, Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements and Open Challenges, In proceedings of the international conference on parallel and distributed processiong techniques and applica- tions (PDPTA), 2010.
[5] L. Minas and B. Ellison, Energy Efficiency for Information Technology: How to Reduce Power Consumption in Servers and Data Centers. Intel Press, Aug. 2009.
[6] Anton Beloglazov, Rajkumar Buyya, Young Choon Lee, and Albert Zomaya, A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems,2010 IEEE
[7] G. Wei, J. Liu, J. Xu, G. Lu, K. Yu, and K. Tian, The on-going evolutions of power management in Xen,. Intel Corporation, Tech. Rep., 2009, Tech. Rep., 2009.
[8] VMware Inc., vSphere resource management guide,. 2009.
[9] Qumranet Inc, KVM: kernel-based virtualization driver,. White Paper, 2006.
[10] Chia-Ming Wu, Ruay-Shiung Chang, Hsin-Yu Chan, A green energy-efficient scheduling algorithm using the DVFS tech- nique for cloud datacenters, Future Generation Computer Sys- tems, 2013 Elsevier
[11] Chaima Ghribi, Makhlouf Hadji and Djamal Zeghlache , Energy Efficient VM Scheduling for Cloud Data Centers: Exact allocation and migration algorithms, ExtremeGreen workshop, During CCGrid 2013 May 13-16, 2013, Delft, The Nether- lands.
[12] C. S. Yeo and R. Buyya. A Taxonomy of Market-based Resource Management Systems for Utility-driven Cluster Computing. Software: Practice and Experience, 36(13):1381- 1419, 10 Nov. 2006.