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 Hamrouni1,2,a), Slim Chaoui3,4
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1Department of Computer Sciences, Khurma University College, Taif University, Khurma, 2935, Kingdom of Saudi Arabia
2Research Groups on Intelligent Machines Laboratory, National School of Engineering of Sfax (ENIS), Sfax University, Sfax, 3038, Tunisia
3College of Computer and Information Sciences, Department of Computer Engineering and Networks, Jouf University, Skaka, 72311, Kingdom of Saudi Arabia
4Unit- Laboratory of Sciences of Electronics, Technologies of Information and Telecommunications, Sfax University, Sfax, 3038, Tunisia
a)Author to 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
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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.
Received: 26 April 2020, Accepted: 21 June 2020, Published Online: 12 July 2020
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