Open Access   Article Go Back

Energy Organized Scheduled Virtual Machine Resource Distributional Cloud Data Centres

Alekhya Orugonda1 , V. Kiran Kumar2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 809-813, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.809813

Online published on Jul 31, 2018

Copyright © Alekhya Orugonda, V. Kiran Kumar . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Alekhya Orugonda, V. Kiran Kumar, “Energy Organized Scheduled Virtual Machine Resource Distributional Cloud Data Centres,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.809-813, 2018.

MLA Style Citation: Alekhya Orugonda, V. Kiran Kumar "Energy Organized Scheduled Virtual Machine Resource Distributional Cloud Data Centres." International Journal of Computer Sciences and Engineering 6.7 (2018): 809-813.

APA Style Citation: Alekhya Orugonda, V. Kiran Kumar, (2018). Energy Organized Scheduled Virtual Machine Resource Distributional Cloud Data Centres. International Journal of Computer Sciences and Engineering, 6(7), 809-813.

BibTex Style Citation:
@article{Orugonda_2018,
author = {Alekhya Orugonda, V. Kiran Kumar},
title = {Energy Organized Scheduled Virtual Machine Resource Distributional Cloud Data Centres},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {809-813},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2516},
doi = {https://doi.org/10.26438/ijcse/v6i7.809813}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.809813}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2516
TI - Energy Organized Scheduled Virtual Machine Resource Distributional Cloud Data Centres
T2 - International Journal of Computer Sciences and Engineering
AU - Alekhya Orugonda, V. Kiran Kumar
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 809-813
IS - 7
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
403 248 downloads 222 downloads
  
  
           

Abstract

Cloud computing is an internet based infrastructure environment service provider. Cloud is a collection of servers grouped together located in a different geographic locations connected. Cloud computing has a noble vision to share the resources to the user all around. Cloud computing is an upcoming topic for the researchers for the betterment in this field around the world. Cloud providers use resource allocation strategy [1], along with energy aware consciousness to reduce the energy consumption in massive cloud data centres. This paper gives an outline of a comparative have a look at on the various current resource scheduling techniques in cloud computing.

Key-Words / Index Term

Cloud Computing, Resource Allocation Strategy, Scheduling, Energy Efficiency

References

[1] Youwei Ding, Xiaolin Qin, Liang Liu, Taochun Wang, “Energy efficient scheduling of virtual machines in cloud with deadline constraint”, Science Direct 2015.
[2] Xiaomin Zhu, Laurence T. Yang, Huangke Chen Ji Wang, Shu Yin and Xiao cheng Liu, “Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds”, IEEE 2014.
[3] Jinn-Tsong Tsai Jia-Cen Fang, Jyh-Horng Chou “Optimized task scheduling and resource allocation on cloud computing environment uses Improved Differential Evolution Algorithm (IDEA)”, Science Direct 2014.
[4] Yue Gao Ming Hsieh, Gupta, S.K., Yanzhi Wang “An Energy-Aware Fault Tolerant Scheduling Framework for Soft Error Resilient Cloud Computing Systems”, IEEE 2014.
[5] Youwei Ding, Xiaolin Qin, Liang Liu, Taochun Wang “More than bin packing: Dynamic resource allocation strategies in cloud data centers”, Science Direct 2015.
[6] Jiaxin Li , Dongsheng Li, Yuming Ye, and Xicheng Lu, “Efficient Multi-Tenant Virtual Machine Allocation in Cloud Data Centers”, IEEE 2015.
[7] J M Kaplan, W Forrest, and N Kindler, Revolutionizing Data Center Energy Efficiency, 2008.
[8] S N T Chiueh and S Brook, A survey on Virtualization Technologies, RPE Rep, 2005, p. 1-42.
[9] J Carolan, S Gaede, J Baty, G Brunette, A Licht, J Remmell, L Tucker, and J Weise, Introduction to Cloud computing Architecture, SUN Microsystems Inc,2009, p.1-40.
[10] R P Goldberg, Survey of Virtual Machine Research, Computer (Long Beach Calif), 1974, vol 7, p. 34-45.
[11] Vmw Inc, - Jul-2013.
[12] P Barham, B Dragovic, K Fraser, S Hand, T Harris, A Ho, R Neugebauer, I Pratt, and A Warfield, Xen and the Art of Virtualization, ACM SIGOPS Oper Syst Rev, 2003, vol 37, p. 164-177.