Power Profiling of different Heterogeneous Computers

Abstract: Context: In the present world, there is an increase in the usage of com- munication services. The growth in the usage and services relying on the communication network has brought in the increase in energy consumption for all the resources involved like computers and other networking compo- nent. Energy consumption has become an other efficient metric, so there is a need of efficient networking services in various fields which can be obtained by using the efficient networking components like computers. For that pur- pose we have to know about the energy usage behavior of that component. Similarly as there is a growth in use of large data-centers there is a huge requirement of computation resources. So for an efficient use of these re- sources we need the measurement of each component of the system and its contribution towards the total power consumption of the system. This can be achieved by power profiling of different heterogeneous computers for es- timating and optimizing the usage of the resources. Objectives: In this study, we investigate the power profiles of different heterogeneous computers, under each system component level by using a predefined workload. The total power consumption of each system compo- nent is measured and evaluated using the open energy monitor(OEM). Methods: In oder to perform the power profile an experimental test bed is implemented. Experiments with different workload on each component are conducted on all the computers. The power for all the system under test is measured by using the OEM which is connected to each system under test(SUT). Results: From the results obtained, the Power profiles of different SUT’s are tabulated and analyzed. The power profiles are done in component level under different workload scenarios for four different heterogeneous comput- ers. From the results and analysis it can be stated that there is a variation in power consumed by each component of a computer based on its con- figuration. From the results we evaluate the property of super positioning principle.