Scalable storage and retrieval on it with controlling power consumption

我们提出了多种通过控制数据放置和访问方法来降低存储系统功耗的方法。一种方法是利用备份数据来降低HDD的起转和降转操作的频率，从而有效降低HDD的功耗，同时保持存储系统的可靠性。另一种方法将主要数据置于高速配置，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。我们通过模拟和使用真实硬件评估了这些方法以及其他许多方法，包括 XML 检索，并证明了它们的有效性。相应研究论文被知名高竞争力国际会议和期刊接收。由于这些方法实用且适用于许多实际情况，因此可以预期对 IT 系统运营成本下降和地球环境产生许多连锁反应。

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.