Abstract
Green technology or Green computing is a modern computer science field which emphasizes on reducing or improving the consumption of energy in platforms of distributed computing systems such as grid and cloud computing systems. Scheduling policy can play an essential role in reducing energy consumed in executing applications on these platforms. Most current scheduling techniques seek out to reduce response time without considering the amount of energy cost. Scheduling policy should select resources that impact over response time and energy consumed for performing tasks of customers’ applications. In this publication, a scheduler to assign applications of customers to resources of data centers (DCs) in cloud computing systems with considering energy consumed and response time is proposed and evaluated. The scheduler has a scheduling algorithm that initially assigns applications to virtual resources of the DC. It also implements an algorithm for rescheduling time non-critical applications and another algorithm to deal with time critical applications. The results of simulation reveal that the proposed scheduler can considerably improve the performance in terms of energy consumption, efficiency, monetary cost, productivity and capacity.