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DOI: 10.14569/IJACSA.2015.061036
PDF

A New Approach for a Better Load Balancing and a Better Distribution of Resources in Cloud Computing

Author 1: Abdellah IDRISSI
Author 2: Faouzia ZEGRARI

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 10, 2015.

  • Abstract and Keywords
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Abstract: Cloud computing is a new paradigm where data and services of Information Technology are provided via the Internet by using remote servers. It represents a new way of delivering computing resources allowing access to the network on demand. Cloud computing consists of several services, each of which can hold several tasks. As the problem of scheduling tasks is an NP-complete problem, the task management can be an important element in the technology of cloud computing. To optimize the performance of virtual machines hosted in cloud computing, several algorithms of scheduling tasks have been proposed. In this paper, we present an approach allowing to solve the problem optimally and to take into account the QoS constraints based on the different user requests. This technique, based on the Branch and Bound algorithm, allows to assign tasks to different virtual machines while ensuring load balance and a better distribution of resources. The experimental results show that our approach gives very promising results for an effective tasks planning.

Keywords: Cloud Computing; Constraints QoS; Combinatorial Optimization; Task Scheduler; Exact Method

Abdellah IDRISSI and Faouzia ZEGRARI, “A New Approach for a Better Load Balancing and a Better Distribution of Resources in Cloud Computing” International Journal of Advanced Computer Science and Applications(IJACSA), 6(10), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061036

@article{IDRISSI2015,
title = {A New Approach for a Better Load Balancing and a Better Distribution of Resources in Cloud Computing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061036},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061036},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {10},
author = {Abdellah IDRISSI and Faouzia ZEGRARI}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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