Resource Allocation Approach using Gang Scheduling: Design and Analysis

Abstract: Cloud computing is a computational infrastructure that become popular due to it’s computational abilities. In this environment the huge amount of traffic and data is deal with the computational resources to solve the computational complexities. In order to deal with such kind of traffic and data the resource scheduling is an essential component of cloud server management. Resource scheduling is a technique for maximizing the utilization of expensive resources and minimizing the consumption. In this presented work the cloud resources scheduling approaches are investigated. Additionally a gang scheduling technique based approach is presented for improving the performance of multi-processor cloud servers. In order to optimize the performance of gang scheduling approach the priority normalization is performed before developing the gangs of processes. Additionally the priority is categorized on five different classes. Here the higher priority jobs are selected and processed first. The gang scheduling is utilized with the time shared processors with parallel execution of jobs. Therefore the simulation is configured for multi- processor technique. The simulation of the proposed scheduling technique is performed on the basis of CloudSim tool kit. Additionally the performance of the scheduling technique is compared with the FCFS technique. The experimental results demonstrate the proposed approach is improved as compared to FCFS technique and consumes fewer resources as compared to traditional technique.

Keywords: VM Scheduling, Gang Scheduling, FCFS, Resource Allocation, Cloud Computing, Processes.