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An Energy Efficient Hybrid PSO Algorithm in Cloud Environment

Authors: Ranjandeep Kaur Khera; V. K. Banga;

An Energy Efficient Hybrid PSO Algorithm in Cloud Environment

Abstract

Algorithms exist to schedule various tasks in real time cloud environment. Nowadays many researchers are trying to schedule heavily loaded situations in real time cloud environment using swarming technique. For such studies many parameters need to be considered like cost of the system, processor latency, number of tasks and so on. With the increase in the number of tasks in the set, processing time also increases. In this situation, processor latency is at peak as the number of tasks increases and system costs increase. So the above mentioned problem is handled by proposing a task scheduler that uses a PSO algorithm to remove the limitations of past studies in a heavily loaded situation. The Particle Swarm optimization (PSO) and Invasive Weed Optimization (IWO) are combined to propose a new technique called the HWO algorithm. The proposed algorithm is recommended for preventive tasks in the single-processor in real-time environment systems.

Subjects by Vocabulary

Microsoft Academic Graph classification: Mathematical optimization Computer science business.industry Particle swarm optimization Cloud computing business Efficient energy use

Keywords

Cloud Computing, Particle Swarm optimization, Invasive Weed optimization., C4704029320/2020©BEIESP, Environmental Engineering, General Engineering, 2249-8958, Computer Science Applications

13 references, page 1 of 2

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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impulse
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