Contribution in Private Cloud Computing Development based on Study and KPI Analysis

Chafaa Hamrouni; Slim Chaoui

doi:10.25046/aj050414

Open AccessArticle

Contribution in Private Cloud Computing Development based on Study and KPI Analysis

Volume 5, Issue 4, Page No 105–108, 2020

Author’s Name: Chafaa Hamrouni^* ^{1, 2}, Slim Chaoui ^{3, 4}

¹ Department of Computer Sciences, Khurma University College, Taif University, Khurma, 2935, Kingdom of Saudi Arabia

² Research Groups on Intelligent Machines Laboratory, National School of Engineering of Sfax (ENIS), Sfax University, Sfax, 3038, Tunisia

³ College of Computer and Information Sciences, Department of Computer Engineering and Networks, Jouf University, Skaka, 72311, Kingdom of Saudi Arabia

⁴ Unit- Laboratory of Sciences of Electronics, Technologies of Information and Telecommunications, Sfax University, Sfax, 3038, Tunisia

^*whom correspondence should be addressed. E-mail: chafa.hamrouni.tn@ieee.org

Adv. Sci. Technol. Eng. Syst. J. 5(4), 105–108 (2020); DOI: 10.25046/aj050414

Keywords: QoS, Virtuel Infrastructure Manager, Virtuel Machine, Virtual Private Network, Quality of Service

Received: 26 April 2020, Accepted: 21 June 2020, Published Online: 12 July 2020

(This article belongs to Section Information Systems in Computer Science (CIS))

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Abstract

The preset paper describes a contributes in the implementation of private Cloud Computing. Exhaustive study made validates Cloud environment creation and successful deployed Solution Configuration choice. Related solution ensures a good investment that reduces energy costs of the data center, minimizes network traffic cost proven as an NP-hard problem. In addition, each virtual machine (VsM) depends on energy within the data center. Used genetic algorithm allows the emergence of new generations, the use of Tabu search algorithm demonstrates a divergence state, however an identification technique, based on a hybrid algorithm, ensures which optimized virtual machine.

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Contribution in Private Cloud Computing Development based on Study and KPI Analysis

Contribution in Private Cloud Computing Development based on Study and KPI Analysis

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References (09)

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