Scalable storage and retrieval on it with controlling power consumption

我们提出了许多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减少硬盘的休眠和休眠频率，有效降低硬盘功耗，保证存储系统的可靠性。另一种方法是将主数据放在高档位配置，减少迁移数据的档位，以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对这些方法和其他许多方法（包括XML检索）进行了评估，并证明了它们的有效性。相应的研究论文被国际知名高竞争力会议和期刊收录。由于这些方法具有实用性，适用于许多实际情况，因此可以预期，无论是对IT系统运行成本的降低，还是对地球环境的影响，都会产生许多连锁反应。

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.