Optimization of Power Consumption in Cloud Data Centers Using Green Networking Techniques

Optimization of Power Consumption in Cloud Data CentersUsing Green Networking TechniquesDr. Qutaiba I. Ali Alnawar J. MohammedEmail: [emailprotected] Email: [emailprotected]Computer Engineering Dept., College of Engineering, University of Mosul, Mosul, Iraq.AbstractIn this paper, a neuro-based predictor is proposed with a prediction algorithm toestimate the required number of active servers simulating the Green Networkingobjectives. The inputs of such predictor are the CPU utilization of the servers in the datacenter and the variations of the incoming demands with the number of users variation.During the work, different demand profiles of ClarkNet traffic traces are simulated onOPNET14.5 Modeler to obtain the required training values of servers CPU utilizationand clients throughput. Also, Green Networking objectives are defined to maintain thePower Management Criteria (PMC) which guaranteed that all CPU utilization must begreater than 30%. Taking into account that a maximum number of 100 servers are usedin such local data center, an ON/OFF control algorithm is then suggested for the powermanagement of different servers in data center to fulfill the previous Green objectives.The Power saving is finally evaluated since it has been noticed that the power savingpercentage can be increased from 17.33% to 85.33% of a total power of 75 k watts whenthe number of the operating servers is decreased from 80% to 5% of the overall servers.Keywords: Artificial Neural Network (ANN), Cloud Computing, Data Centers,Green Networking, Power Consumption. . Email: [emailprotected] Email: [emailprotected] . )(. . ClarkNet OPNET Modeler 14.5 . 03 . 100 ON/OFF . % 17.33 % 85.33 57 % 80 % 5 .