Abstract: Researchers try to solve the problem of energy (the demand go up and the supply is declining or flat) by discovering new resources or minimizing energy consumption in most important fields. In this paper we minimize energy in cloud computing by enhancement green scheduler, a cloud datacenter comprises of many hundred or thousands of networked servers. The network system is main component in cloud computing which consumes a non-negligible fraction of the total power consumption. In this paper we minimize energy in cloud computing by presenting a scheduling approach that is called SJFGC which performs the best-effort workload consolidation on a minimum set of servers. The proposed approach optimizes the tradeoff between job consolidations (to minimize the amount of computing servers) by executing firstly task with minimum arrival time and minimum processing time. We use simulator program is called Green Cloud which is extension to network simulator NS2.

Keywords: Green Scheduling, Data center, Green Cloud, Energy Efficiency.