Linear Scheduling Strategy for Resource Allocation in Cloud Environment

Abstract

Cloud computing technology virtualizes and offers many services across the network. It mainly aims at scalability, availability, throughput, and resource utilization. Emerging techniques focus on scalability and availability. However, cloud computing must be advanced to focus on resource utilization and resource management. The cloud environment, embedded with the nimbus and cumulus services will contribute more in making the responsibility of resource utilization in Cloud Computing. Considering the processing time, resource utilization based on CPU usage, memory usage and throughput, the cloud environment with the service node to control all clients request, could provide maximum service to all clients. Scheduling the resource and tasks separately involves more waiting time and response time. A scheduling algorithm named as Linear Scheduling for Tasks and Resources (LSTR) is designed, which performs tasks and resources scheduling respectively. Here, the combination of Nimbus and Cumulus services are imported to a server node to establish the IaaS cloud environment and KVM/Xen virtualization along with LSTR scheduling is used to allocate resources which maximize the system throughput and resource utilization.