Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers

Abstract

In order to resource management in a large-scale data center, we present a hierarchical agent-based architecture. In this architecture, multi agents cooperate together to minimize the number of active physical machines according to the current resource requirements. We proposed a local agent in each physical machine (PM) to determine the PM's status and a global agent to optimizes VM placement based on PM's status. Experimental results show the proposed architecture can minimize energy consumption while maintaining an acceptable QoS.