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Paper
Title

Optimized Scheduling for Cost and Energy Consumption Minimization in Cloud Computing Networks based on Fuzzy- Particle Swarm Optimization Algorithm

Year: 1399
COI: ISCELEC04_025
Language: EnglishView: 171
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Authors

Alireza Fayaz Mojtahedi - Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Hossein Shirazi - Faculty of Electrical and Computer Engineering Malek Ashtar University of Technology, Tehran, Iran

Abstract:

This paper first examines the existing approaches to task planning and resources allocation in the cloud infrastructure and evaluates their advantages and disadvantages. Subsequently, a hybrid algorithm (Fuzzy-PSO) is presented to allocate tasks to resources and reduce runtime. In this research, the optimal particle swarm algorithm for scheduling tasks between data centers is used which has shown great success in solving continuous optimization problems. Fuzzy logic is also used to determine the competence of nodes in this algorithm. This algorithm assigns tasks to processing resources in a way that the workload is distributed evenly over the processing resources to maximize the efficiency of available processing resources and minimize runtime and total cost.

Keywords:

Cloud Computing Network , Resource Scheduling , Load Balance , Fuzzy Logic , Particle Swarm Optimization Algorithm

Paper COI Code

This Paper COI Code is ISCELEC04_025. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1039261/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Fayaz Mojtahedi, Alireza and Shirazi, Hossein,1399,Optimized Scheduling for Cost and Energy Consumption Minimization in Cloud Computing Networks based on Fuzzy- Particle Swarm Optimization Algorithm,4th International Congress of Electrical, Computer and Mechanical Engineering,Tehran,https://civilica.com/doc/1039261

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 32,764
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

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