Intelligent scheduling system using agent based resource allocation in cloud

摘要

In cloud computing resource allocation should be elastic, within the sense that it must have modification accurate and quickly based on the demand. In cloud computing, Virtual machine allocates the resource for user's needs. Some time workload of service, increase rapidly, the existing approaches solve aggressive resource provisioning tasks using SPRNT, but still some challenges occur in VM allocation. Such as, it may fail when faced with rapidly increasing workload, and the user can't commit with a virtual machine that which one is adapted to the task, then increases in adaptation time and memory access time. In this paper, we proposed agent based resource allocation for intelligent scheduling system. Agent based resource allocation should help users to verify the most effective framework for every individual. It provides a high level of flexibility, balance workload, reduce adaptation time and memory access time. The evaluation result of agent based resource allocation to achieve up to 4.3x speed up in adaptation time.