A green greedy process scheduler for cloud data centers

In this paper we have addressed a major problem in current day data centers- power consumption. Power consumption in data centers has become a major problem these days, both from economic and environmental perspective. Various factors affect the power consumption, one of them being the scheduling of tasks on the data center servers. Basically we achieved a real-time simulation of two cloud scheduling algorithms and compared the power efficiency of the two algorithms in terms of two main temperature parameters of the servers-idle temperature and critical temperature. We assumed that we were given all the task parameters such as running time etc. and then we calculated a final temperature that a system will reach on running that particular task. Then we decided which system could accommodate that task based on that systems critical temperature and chose the best system among those based on a score proposed in the paper.