The massive diffusion of Cloud services in the internet led to increasing demands of services and cloud infrastructure are conduct to an increasing in energy consumption in data centers, which has presents interesting great challenge. In this paper, we propose new strategy of allocation resources, with intelligent management of resources our approach based on constraint programming (CP), according to the autonomous resources allocation using multi-agent systems (SMA). At first, we make a review of various solutions that have been proposed in order to optimize Cloud energy consumption; second, we offer a logical solution to manage physical and virtual resources in smarter data center. At the end, we conclude this paper by future work.
CITATION STYLE
Soltane, M., Okba, K., Mostafa, E., & Makhlouf, D. (2018). Allocation strategy for cloud datacenter based on multi agent and CP approach. In Lecture Notes in Networks and Systems (Vol. 25, pp. 291–301). Springer. https://doi.org/10.1007/978-3-319-69137-4_26
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