Green cloud computing: A survey

Ashis Behera, Bikram Kesari Ratha, Srinivas Sethi

Abstract


Green cloud computing is energy oriented distributed networking system with the internet. Now days this cutting edge research topic is highly essential to make the system efficient with environment friendly. Using this technology, users can save their energy, money, proper with efficient utilization of infrastructure, etc. This also helps to improve the efficiency of applications, software, infrastructures.


References


Matthew Green | Johns Hopkins University “The Threat in the Cloud” IEEE Computer and Reliability Societies January/February 2013.

Kirk W. Cameron“The Challenges of Energy-Proportional Computing” Published by the IEEE Computer Society.

Tariq Rahim Soomro, Muhammad Sarwar “Green Computing: From Current to Future Trend” International journal of social, Behavioral, Educational, Economic, business and Industrial Engineering Vol: 6, No: 3, 2012.

Usman Wajid, Cinzia Cappiello et al “On Achieving Energy Efficiency and Reducing CO2 Footprint in Cloud Computing” IEEE transactions on cloud computing, vol. 4, no. 2, April-June 2016.

Chia-Ming Wu ,Ruay-Shiung Chang,Hsin-Yu Chan “A green energy-efficient scheduling algorithm using the DVFS technique for cloud datacenters” ScienceDirect Future Generation Computer Systems July 2014, Vol.37:141-147.

W. Xiaoli, W. Yuping, C. Yue “A multi-objective bi-level programming model for energy and locality aware multi-job scheduling in cloud computing” Elsevier Future Generation Computer System 36 (2014)91-101.

H. Chen and H.Q.Ye. Asymptotic optimality of balance routing, 2010.

Raj Gaurav, “An Efficient Broker Cloud Management System” ACAI’11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence ACM New York.

Mohamed Abu Sharkh, Manar Jammal, Abdallah Shami, and Abdelkader Ouda ”Resource Allocation in a Network-Based Cloud Computing Environment: Design Challenges” IEEE Communications Magazine November 2013.

Zhen Xiao, Senior Member, IEEE, Weijia Song, and Qi Chen” Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment” IEEE transactions on parallel and distributed systems, vol. 24, no. 6, June 2013.

M Suhail Rehmam, MajdF. Sakr: “Initial findings for provisioning variation on cloud computing “(IEEE, 2010), pp.42-46.

V.V inothina, Sridaran R., A PadmavathiG: “A survey on Rourse Allocation Strategies in Cloud computing” (IJACSA, 2012), Vol 3, No.6.


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