Scalable storage and retrieval on it with controlling power consumption

我们已经提出了一些方法来降低存储系统的功耗，通过控制数据的放置和访问方法。一种方法通过使用备份数据来降低HDD的起转和降转操作的频率，以有效地降低HDD功耗以及保持存储系统的可靠性。另一种方法将主数据置于高速档配置以减少换档中的迁移数据，从而平衡存储系统的功耗和性能。我们通过仿真和使用真实的硬件来评估这些方法和包括XML检索在内的其他许多方法，并证明了它们的有效性。相关研究论文被国际知名高竞争力会议和期刊录用。由于这些方法是实用的，并适用于许多真实的情况，许多涟漪效应都降低了成本的IT系统操作和地球环境可以预期。

We have proposed a number of approaches to reduce power consumption of storage systems by controlling data placement and access methods. One approach decreases the frequency of spin-up and spin-down operations of HDD by using backup data to reduce HDD power consumption effectively as well as to keep the reliability of the storage system. Another approach places primary data for the high gear configuration to reduce migrated data in gear shift for balancing power consumption and performance of the storage system. We evaluated these methods and other many methods including XML retrievals through simulation and using real hardware, and demonstrated their effectiveness. Corresponding research papers were accepted well-known high competitive international conferences and journals. Since these methods are practical and applicable to many real situations, many ripple effects for both the cost down of IT system operation and earth environment can be expected.