A comparative study of energy and task efficient load balancing algorithms in cloud computing

The future growth of the Internet of Services has fundamentally changed the emergence of cloud computing. Cloud data centres serve multiple tenant demands for cloud applications that discharge vast amounts of electricity, leading to high operating costs and environmental diffusion of carbon dioxide...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-05, Vol.1913 (1), p.12105
Main Authors: Gaikwad, A D, Singh, K R, Kamble, S D, Raghuwanshi, M M
Format: Article
Language:English
Subjects:
Algorithms
Carbon dioxide
Cloud computing
Comparative studies
Data centers
Energy consumption
Energy efficiency
Green computing
Load balancing
Physics
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Summary:The future growth of the Internet of Services has fundamentally changed the emergence of cloud computing. Cloud data centres serve multiple tenant demands for cloud applications that discharge vast amounts of electricity, leading to high operating costs and environmental diffusion of carbon dioxide (CO2). To fix this is the need for preservation to enable potential use by building a new structure and measuring the effect in a cloud data centre. Consequently, the use of pruned electricity reduces the cost of processing power. In order to meet energy-efficient data centres in the cloud, adjusting to optimal load balancing processing a good way for energy savings. To minimise the large energy use of cloud data centres herds, this focuses on increasing efficacy by breaking the workload evenly. In this paper, we plan to provide a comprehensive comparative analysis in cloud computing of current load balancing algorithms.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1913/1/012105