Intelligent Strategy of Allocation resource for Cloud Datacenter Based on MAS & CP approach

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 literature 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 data center. Thirdly to validate our approach we use omnet and Ican cloud to implement all scenario of simulation. At the end, we conclude this paper by future work

• cloud data centers
• resource allocation
• multi-agent systems
• constraint programming
• energy consumption
• virtual resource management
• physical resource management
• intelligent resource management

• 9 — Industrie, innovation et infrastructure

• Cloud Computing and Resource Management
• Energy Efficiency in Computing
• Distributed and Parallel Computing Systems
• cloud data centers
• resource allocation
• multi-agent systems
• constraint programming
• energy consumption
• virtual resource management
• physical resource management
• intelligent resource management
• Information Systems
• Hardware and Architecture
• Computer Networks and Communications
• Computer Science