Considering Thermal-aware Proactive and Reactive Scheduling and Cooling for Green Data-centers

Abstract

Data-centers require huge amount of electricity to continue meeting the computing demands of consumers each year. Fossil fuel based electricity is utilized due to lack of abundant renewable energy resources, resulting in the emission of CO2 in atmosphere and causing global temperature hike. The world is in dire need of efficient utilization of electricity. At the same time, advent of cloud computing has brought the innovation of everything as a service. This has led to proliferation of cloud services in every computing field. It has increased the load on cloud hosting data-centers, resulting in excessive use of electricity. A cloud data-center can manage to save electricity by reducing resource exploitation through either or both of the efficient utilization based and thermal based scheduling and monitoring. In this paper we take a peek into recently proposed thermal aware scheduling and monitoring techniques to maintain a cost effective Green Cloud Computing environment.