题目：Energy Efficient Prefetching for Data Storage Systems
报告人：秦啸 美国奥本大学
地点：东五楼二楼210学术报告厅
时间：6月17日下午3：00

报告摘要：
　　With the rapid growth of the production and storage of large scale data sets it is important to investigate methods to drive the cost of storage systems down. We are currently in the midst of an information explosion and large scale storage centers are increasingly used to help store generated data. There are several methods to bring the cost of large scale storage centers down and we investigate a technique that focuses on transitioning storage disks into lower power states. This talk introduces a model of disk systems that leverages disk access patterns to prefetch popular sets of data to produce energy saving opportunities. Using the model we have developed a simulator that allows us to quickly change various parameters to investigate the relationship that file access patterns, disk energy parameters, and simulation parameters have on the overall energy efficiency of disk systems. To help improve the validity of our simulation results we leveraged the validated disk simulator, DiskSim, and added disk power models to DiskSim. This allowed us to test our energy efficient strategies with a validated storage system simulator.
　　The last part of this talk focuses on implementing a large scale storage system virtual file system. We introduce the Energy Efficient Virtual File System, or EEVFS, to mange the data placement and disk states in a cluster storage system. Our modeling and simulation results indicated that large data sizes and knowledge about the disk access pattern are valuable for storage system energy savings techniques. Storage servers that support applications that stream media is one key area that would benefit from our strategies. The final idea introduced in this talk is the concept of parallel striping groups, which attempt to improve the performance of EEVFS while maintaining energy savings.

报告人简介：
　　Xiao Qin is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University. He received the B.S. and M.S. degrees in Computer Science from Huazhong University of Science and Technology, China, in 1996 and 1999, respectively. He received the Ph.D. in Computer Science from the University of Nebraska-Lincoln in 2004. Prior to joining Auburn University in 2007, he had been an assistant professor with New Mexico Institute of Mining and Technology (New Mexico Tech) for three years. He won an NSF CAREER award in 2009 to conduct research on multicore-based parallel disk systems. His research interests include parallel and distributed systems, real-time computing, storage systems, fault tolerance, and performance evaluation. His research is supported by the U.S. National Science Foundation, Auburn University, and Intel Corporation.