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Research Review on Task Scheduling Algorithm for Green Cloud Computing
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Author(s): Parveen Sadotra (Central University of Himachal Pradesh, India), Pradeep Chouksey (Central University of Himachal Pradesh, India), Mayank Chopra (Central University of Himachal Pradesh, India), Rabia Koser (Government P.G. College, Rajouri, India)and Rishikesh Rawat (Bansal College of Engineering, Mandideep, India)
Copyright: 2025
Pages: 16
Source title:
Scalable Modeling and Efficient Management of IoT Applications
Source Author(s)/Editor(s): Dharmendra Singh Rajput (Vellore Institute of Technology, India), Gotam Singh Lalotra (Government Degree College, Basohli, India), Vinod Kumar (Koneru Lakshmaiah Education Foundation, Guntur, India), Pushpendra Kumar (Central University of Jharkhand, India)and Harshita Patel (Vellore Institute of Technology, India)
DOI: 10.4018/979-8-3693-1686-3.ch007
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Abstract
In green cloud computing, task scheduling entails assigning tasks to virtual machines in an approach that minimizes energy use whilst still reaching the performance targets. Green cloud computing is an evolving field that lowers the energy and carbon footprint of systems for using the cloud. In green cloud computing, task planning is a crucial problem because it determines how computational resources are allotted to workloads in order to decrease energy consumption and increase efficiency. Different task-scheduling techniques have been put forth in recent years for green cloud computing. The authors look at some current studies on task scheduling methods for green cloud computing in this overview of the literature.
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