JOURNAL ARTICLE

Dynamic Task Scheduling using Genetic Algorithm in Private Cloud Environment

J. Jeyaranjani

Year: 2018 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 6 (4)Pages: 2300-2304   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

Cloud computing is a technology which is used in most of the current business world. And also it has some challenges to overwhelm. The main obstacle in cloud computing is to manage resource utilization. To manage resource utilization in a perfect way we use task scheduling. There are many algorithms used for task scheduling. Here genetic algorithm is used for implementing task scheduling. Compared to traditional algorithms genetic algorithm gives enhanced results which improves quality of the process. In this paper multi objective is been focused. To maximize resource utilization, to minimize cost and time which gives optimized results and improved performance.

Keywords:
Computer science Cloud computing Task (project management) Distributed computing Scheduling (production processes) Dynamic priority scheduling Genetic algorithm Algorithm Real-time computing Mathematical optimization Operating system Machine learning Mathematics Engineering Systems engineering

Metrics

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Cited By
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FWCI (Field Weighted Citation Impact)
12
Refs
0.05
Citation Normalized Percentile
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Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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