@techreport{oai:ipsj.ixsq.nii.ac.jp:00191411, author = {Le, Li and Keiichiro, Fukazawa and Hiroshi, Nakashima and Takeshi, Nanri and Le, Li and Keiichiro, Fukazawa and Hiroshi, Nakashima and Takeshi, Nanri}, issue = {3}, month = {Sep}, note = {The amount of data grows rapidly, since everything can be easily digitalized today. For obtaining values from those data, datacenters continuously enlarge and enhance their computer systems. However, recently the silicon transistors are difficult to develop, and it becomes much harder for us to extract its physical ultimate, and so the performance becomes hardly catch up the growth of data. Thus, we have to increase the number of hardware to reach the demanded performance and also sacrifice more power as a result. Most of the supercomputer systems are homogeneous systems, which means all of their nodes are comprised by identical hardware. However, the process variation in manufacturing processes results in a variation on performance/power. In this research, taking a node level performance power variation into consideration, we come up with a power saving resource management technique. We also make a job scheduling simulator to verify its effects by comparing with primary methods., The amount of data grows rapidly, since everything can be easily digitalized today. For obtaining values from those data, datacenters continuously enlarge and enhance their computer systems. However, recently the silicon transistors are difficult to develop, and it becomes much harder for us to extract its physical ultimate, and so the performance becomes hardly catch up the growth of data. Thus, we have to increase the number of hardware to reach the demanded performance and also sacrifice more power as a result. Most of the supercomputer systems are homogeneous systems, which means all of their nodes are comprised by identical hardware. However, the process variation in manufacturing processes results in a variation on performance/power. In this research, taking a node level performance power variation into consideration, we come up with a power saving resource management technique. We also make a job scheduling simulator to verify its effects by comparing with primary methods.}, title = {A Node Level Performance/Power Efficiency Aware Resource Management Technique}, year = {2018} }