Dynamic load balancing based on CPU utilization and data locality in distributed database using priority policy

Load balancing is an important technique for improving distributed system performance by considering the group of hosts in the system to share their workloads. It results in a better utilization of host resources, a high system throughput and quick response time of user requests. In distributed database, it is important to take data locality into account, since they have big impact on the communication requirements. Several techniques are proposed for balancing the load in homogeneous applications but still some improvement in terms of efficiency is required. In this paper, we present a load balancing architecture that can deal with homogeneous applications in distributed database more efficiently. In our proposed architecture, CPU utilization based priority method is used and data locality is also taken into consideration along with process waiting time and data transmission time. We have developed a load balancing algorithm which balances the load on different nodes working in homogeneous environment in a fragmented distributed database.