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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Sunday 22 September 2019

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Performance improvement of mobile cloud by implementing a scheduler software layer


Volume 14, Issue 3, February 2016, Pages 790–794

 Performance improvement of mobile cloud by implementing a scheduler software layer

Yassine EL MAHOTI1, Noura Aknin2, and Kamal Eddine El-Kadiri3

1 Information Technology and Modeling Systems Research Unit, Faculty of Sciences, Abdelmalek Essaadi University, Tetouan, Morocco
2 Information Technology and Modeling Systems Research Unit, Faculty of Sciences, Abdelmalek Essaadi University, Tetouan, Morocco
3 Computer Sciences, Operational Research and Applied Statistics Laboratory, Faculty of Sciences, Abdelmalek Essaadi University, Tetouan, Morocco

Original language: English

Received 5 August 2015

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The mobile cloud computing (MCC) has permit a huge facility to get information from internet, a simple user now can connect anywhere and any when for receive the desirable information. But despite that, the mobile cloud are not yet capable to resolve same problems, like the mobile energy consumption. The batteries lifetime of mobile devices presents a major concern for customers, because of the variety applications available in the cloud, customers are often connected to the internet what their cause a massive energy consumption. This consumption is made also by the presence of heavy applications hosted in the cloud that require interesting resources.
This paper proposes an implementation of a software layer that allows an intelligent scheduling of equipment in the mobile Cloud and permits also a fast processing of customer requests that will lead to a considerable conservation of energy and therefore a powerful and ecological system.


Author Keywords: Cloud MCC, energy, scheduling, network.


How to Cite this Article


Yassine EL MAHOTI, Noura Aknin, and Kamal Eddine El-Kadiri, “Performance improvement of mobile cloud by implementing a scheduler software layer,” International Journal of Innovation and Applied Studies, vol. 14, no. 3, pp. 790–794, February 2016.