Dynamic Dispatching Mechanism for Differentiated Services in Cloud Clusters

A cloud computing environment consists of a huge number of processors and memories, high-speed networks, and various application services to provide a lot of service over the Internet for users. However, there are two critical problems in the Internet service provider´s (ISP): unfair and unbalanced problems produced by dispatching tasks without considering the character and the workload of servers. Therefore, an efficient Dynamic Cloud Cluster Election Mechanism (DCCEM) is proposed to achieve load balance of resource deployment in this paper. The proposed approach is based on the combination of Combined Input-Cross point Buffers (CICB) and Cloud Virtualization Management (CVM) to distinguish and store the different patterns of service requirements, and then send them to appropriate cloud clusters according to the loading states of specific services, as capacity of CPU, memory, and storage. The simulation results show that DCCEM can dispatch tasks fairly and achieve load balancing for each cloud cluster.