Abstract
In recent years, the scale of datacenters has become larger due to the explosive increase in the amount of digital data. As a result, the growth of energy consumption is an important factor in the management cost of datacenters. Storing and processing such large volumes of data by database applications are the core technologies in this Big Data era. However, storage accounts for a significant percentage of a datacenter's energy consumption. Therefore, we try to reduce the energy of storage to save on the total cost of datacenters. The purpose of this study is to reduce the energy consumption of storage while minimizing the deterioration of application performance. Although many methods for storage energy saving have been discussed, since it is difficult to control it efficiently only at the storage level, we have investigated the storage power control mechanism on middleware (database) layer. In this paper, we use TPC-H (a database benchmark) as an application example of data processing. We evaluate the data placement control method of storage proposed for energy saving in the database runtime processing suitable for a large-scale environment with many HDDs.
