Tuesday, 05 Dec, 2023




Study of Green Algorithm in Cloud Computing for Efficient Energy Consumption

International Journal of Distributed and Cloud Computing

Volume 4 Issue 1

Published: 2016
Author(s) Name: Abhinandan Prafull Mangaonkar, Anand Diggikar | Author(s) Affiliation: Dept. of Comp Sc & Engg, KLS Gogte Institute of Technology, Belagavi, Karnataka, India
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Global warming is the greatest test for environment now a days and cloud computing is one of the main motivation for an unnatural weather change as global warming. After numerous years of examination in systems administration, virtualization and distributed computing field Cloud Computing was assembled. Cloud Computing is one of the best innovation in IT field. The fundamental standard of Cloud Computing is to process on distributed PCs instead of figuring on stand alone or remote servers. The thought behind Cloud Computing is to give secured, quick and appropriate data storage and figuring administrations. As there is a positive side of any innovation there is likewise a negative side of it, so do could computing has its negative side. There is huge measure of energy wastage furthermore huge carbon dioxide discharge in cloud computing which is the most compelling motivation for a dangerous atmospheric deviation. Hence there ought to be an approach to decrease the energy utilization furthermore diminishes the discharge of perils components like carbon dioxide. Giving a green solution for cloud computing is important to diminish contamination and utilization of energy. For this we should examine the power utilization in cloud computing and examination should be done in both private and public cloud. Green Cloud Computing Solution decreases energy utilization and consequently lessens the operational coasts in cloud computing furthermore spares energy, henceforth, diminishes the negative impacts on environment. This work tries to actualize the task combination (consolidation) algorithm coordinated with job submission and scheduling algorithm and also trying to save energy by sending the unused servers to rest and migration of virtual machines in cloud computing.

Keywords: Cloud Computing, Green Algorithm, Virtual Machine (VM), VM Migration, Physical Machine (PM), Task Consolidation

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