Title of article :
An Efficient Approach to Solve Software-defined Networks based Virtual Machines Placement Problem using Moth-Flame Optimization in the Cloud Computing Environment
Author/Authors :
Safari-Bavil, Amir hossein Department of Electrical and Computer Engineering - North Tehran Branch - Islamic Azad University - Tehran, Iran , Jabbehdari, Sam Department of Electrical and Computer Engineering - North Tehran Branch - Islamic Azad University - Tehran, Iran , Ghobaei-Arani, Mostafa Department of Computer Engineering - Qom Branch - Islamic Azad University - Qom, Iran
Pages :
12
From page :
309
To page :
320
Abstract :
Generally, the issue of quality assurance is a specific assurance in the computer networks. The conventional computer networks with hierarchical structures that are used in organizations are formed using some nodes of Ethernet switches within a tree structure. Open flow is one of the main fundamental protocols of software-defined networks that provides a direct access and changes in the program of sending the network equipment such as switches and routers, physically and virtually. The lack of an open interface in the data sending program has led to the advent of integrated and close equipment similar to CPU in the current networks. In this work, we suggest a solution to reduce the traffic using a correct placement of virtual machines, while their security is maintained. The proposed solution is based on the moth-flame optimization, which is evaluated. The results obtained indicate the priority of the proposed method.
Keywords :
Cloud Computing , Virtual Machine Placement , Software-Defined Networks , Moth-Flame Algorithm
Journal title :
Journal of Artificial Intelligence and Data Mining
Serial Year :
2021
Record number :
2685942
Link To Document :
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