Department of Business Information Systems, Sorbonne University, 1 Rue Victor Cousin, 75005 Paris, France
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Energy-efficient Scheduling Algorithms for Green Cloud Computing
Author(s): Hendrik B ustos*
With the rapid growth of cloud computing, energy consumption in data centers has become a significant concern due to its environmental
impact and operational costs. Green cloud computing aims to minimize energy consumption and carbon emissions by employing energy-efficient
technologies and practices. Scheduling algorithms play a crucial role in optimizing resource utilization and reducing energy consumption in cloud
environments. This research article explores various energy-efficient scheduling algorithms for green cloud computing, including task scheduling,
virtual machine allocation, and workload consolidation techniques. We discuss the underlying principles, challenges, and opportunities of
these algorithms, along with practical implementations and case studies demonstrating their effectiveness in improving energy efficiency and
sustainability in cloud data.. Read More»
DOI:
10.37421/0974-7230.2024.17.513
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report