Review of An Energy Efficient Task Scheduling Algorithm In Cloud

Vikrant Prasad; Mr. Shivam Shukla

Review of An Energy Efficient Task Scheduling Algorithm In Cloud

Authors: Vikrant Prasad, Mr. Shivam Shukla

Unique Paper ID: 165886
Volume: 11
Issue: 1
PageNo: 2127-2135

Keywords: Task scheduling cloud computing energy-efficient genetic algorithms machine learning.

Abstract:
Efficient task scheduling in cloud computing environments are crucial for optimizing resource utilization and minimizing energy consumption. This review explores recent advancements in energy-efficient task scheduling algorithms for cloud environments. The focus is on algorithms designed to minimize energy consumption while meeting performance requirements and ensuring fairness among tasks. Various approaches, including heuristic-based algorithms, genetic algorithms, and machine learning-based techniques, are discussed, highlighting their strengths and weaknesses. Additionally, challenges and future research directions in this domain are identified to provide insights for further advancements in energy-efficient task scheduling in cloud computing.

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ISSN: 2349-6002
Volume: 11
Issue: 1
PageNo: 2127-2135

Review of An Energy Efficient Task Scheduling Algorithm In Cloud

Available:https://ijirt.org/Article?manuscript=165886

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