Reduce The Energy Consumption Using Power Aware Scheduling In Green Computing
Power consumption is a major challenge in cloud computing. Currently it is estimated that servers consume 0.5% of the world's total electricity. Server energy demand doubles every 4-6 years. A novel workload-aware scheduling model with two optimizations to eliminate the bottleneck caused by scheduler. In this model, guest domains are divided into I/O-intensive domains and CPU (Central Processing Unit) -intensive domains according to their monitored behavior. The network performance is reduced by some problems such as one is that an I/O-intensive domain normally lacks credits to perform I/O.