• Uzma Anwar

The purpose behind schedule the development of green computing lies with the limits of its parental technology i.e. cloud computing, as the expenditures and maintenance of the infrastructure is not the only issue, but other issues include its environment-unfriendliness, enormous energy expenses and the extensive radiation of heat and carbon compounds out of the data centers due to the numerous cooling servers installed and are functional inside them. So, the cloud service sellers improvised the cloud technology, ensured that all these problems of cloud are overcome by the newer technology and then, finally named it ‘Green Computing’ The technology of cloud computing sorts use of the huge data centers that present multiple issues such as wide-ranging amounts of energy consumption, dissipation of lots of heat and methane, carbon dioxide, etc. like deadly green-house compounds and gases. In direction to solve all the above specified issues of cloud computing, green computing came out as an enhancement over the conventional cloud technology with energy-efficiency, security and environmental-friendliness. The two of the Linear power model and the Low Power blade model are the present ones, which employ four Virtual Machine scheduling algorithms for the calculation of consumption of power. The research work is inspired to evaluate performance of Virtual Machine scheduling algorithms with two existing power models on the Green Cloud Simulator.

Telecommunications Industry, Cloud Computing Architecture, Service Models, Infrastructure as a Service (IaaS)

"Performance Analysis of Job Scheduling Algorithms for Green Cloud Data Centers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.468-473, June 2019, Available :http://www.jetir.org/papers/JETIR1907K72.pdf

"Performance Analysis of Job Scheduling Algorithms for Green Cloud Data Centers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp468-473, June 2019, Available at : http://www.jetir.org/papers/JETIR1907K72.pdf