Storage modeling for power estimation

Miriam Allalouf, Yuriy Arbitman, Michael Factor, Ronen I. Kat, Kalman Meth, Dalit Naor
2009 Proceedings of SYSTOR 2009: The Israeli Experimental Systems Conference on - SYSTOR '09  
Power consumption is a major issue in today's datacenters. Storage typically comprises a significant percentage of datacenter power. Thus, understanding, managing, and reducing storage power consumption is an essential aspect of any efforts that address the total power consumption of datacenters. We developed a scalable power modeling method that estimates the power consumption of storage workloads. The modeling concept is based on identifying the major workload contributors to the power
more » ... to the power consumed by the disk arrays. To estimate the power consumed by a given host workload, our method translates the workload to the primitive activities induced on the disks. In addition, we identified that I/O queues have a fundamental influence on the power consumption. Our power estimation results are highly accurate, with only 2% deviation for typical random workloads with small transfer sizes (up to 8K), and a deviation of up to 8% for workloads with large transfer sizes. We successfully integrated our modeling into a power-aware capacity planning tool to predict system power requirements and integrated it into an online storage system to provide online estimation for the power consumed.
doi:10.1145/1534530.1534535 dblp:conf/systor/AllaloufAFKMN09 fatcat:6r6pzjoax5d7bhhsinlvnzrjbm