Dynamic Resource Allocation Method for Load Balance Scheduling Over Cloud Data Center Networks

The cloud datacenter has numerous hosts as well application requests where resources are dynamic. demands placed on the resource allocation diverse. These factors could lead to load imbalances, which affect scheduling efficiency and utilization. A method called Dynamic Resource Allocation for Load Balancing (DRALB) is proposed. proposed solution constitutes two steps: First, manager analyzes requirements such CPU, Memory, Energy Bandwidth usage allocates an appropriate number of VMs each application. Second, information collected updated sorted into four queues according loads i.e. CPU intensive, Memory intensive intensive. We demonstarate that SLA-aware not only facilitates consumers by availability improves throughput, response time etc. but also maximizes profits with less utilization SLA (Service Level Agreement) violation penalties. This based diversity client’s applications searching optimal particular deployment. Experiments were carried out following parameters average time; utilization, rate balancing. experimental results demonstrate this can reduce wastage reduces traffic upto 44.89% 58.49% in network.