@conference {Harraz2017230, title = {Study of an adaptive approach for a Cloud system implementation}, booktitle = {Proceedings of 2016 International Conference on Cloud Computing Technologies and Applications, CloudTech 2016}, year = {2017}, note = {cited By 0}, pages = {230-236}, abstract = {In the few recent years a new paradigm has emerged, with the onward steps that revolutionized the internet and the machines interconnected over it. This has lead the modern technological world to be considered as a virtual sphere interconnecting things using internet, being called the Cloud Computing where any object can communicate with any other object using a network such as the internet. The Cloud Computing makes it possible for end users to profit from the high speed and high performance of remote machines, and deploys a business where internet providers can implement distributed resources and services based on modern technologies to address the needs of the end users. In such paradigm, all components should work in a fashion to provide the best response time possible, one way of doing that is through load balancing algorithms. In this paper we propose a cloud load balancing algorithm that relates to the stochastic and random behavior of any networking system, we show as a result that we can achieve a game theoretic load balancing policy based on the samples of the load in time. {\textcopyright} 2016 IEEE.}, doi = {10.1109/CloudTech.2016.7847704}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013764269\&doi=10.1109\%2fCloudTech.2016.7847704\&partnerID=40\&md5=34d05b50f0f8af7eb7ee1964533a0ebd}, author = {Harraz, A. and Bissiriou, C. and Cherkaoui, R. and Zbakh, M.} }