Designing towards an efficient job aware scheduling algorithm for IaaS cloud

Abstract

In this paper, a new job aware scheduling algorithm for IaaS cloud is proposed. As we know IaaS cloud provides an increase in computing power, storage capacity and lowering the hardware cost and also it offers cost efficiency, scalability, elasticity and dynamic service according to requested application. Scheduling in cloud is vital as it plays an important role for ripe the benefits in-terms of cost and make-span. In scheduling, the jobs are mapped based on the characteristics and user requirements. Parameters like cost, load and resource are to be considered while scheduling. In IaaS cloud, the users pay for the resources they need for computation and the resources should be utilized efficiently for the benefit of both users and providers. Hence, scheduling should consider the jobs cost and has to fully utilize the resources to reduce the make-span, cost and increase the throughput of the system. Aggrandized job aware scheduling algorithm does load balancing in cloud with respect to the services based on resource and cost. The parameters such as make-span, number of tasks executed and cost for execution are considered to evaluate the performance of proposed algorithm.