报告题目：“High Performance and Reliable Storage Support for Big Data”
Dr. Xubin He is a Professor in the Department of Computer and Information Sciences at Temple University. He is also the Director of the Storage Technology and Architecture Research (STAR) lab. Dr. He received his PhD in Electrical and Computer Engineering from University of Rhode Island, USA in 2002 and both his MS and BS degrees in Computer Science from Huazhong University of Science and Technology, China, in 1997 and 1995, respectively. His research interests focus on data storage and I/O systems, including big data, cloud storage, Non-Volatile Storage, and scalability for large storage systems. He has published more than 100 refereed articles in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Parallel and Distributed Computing (JPDC), ACM Transactions on Storage, and IEEE Transactions on Dependable and Secure Computing (TDSC), and at various international conferences, including USENIX FAST, USENIX ATC, Eurosys, IEEE/IFIP DSN, IEEE INFOCOM, IEEE IPDPS, MSST, ICPP, MASCOTS, LCN, etc. He is the general co-chair for IEEE NAS’2009, program co-chair for IPCCC’2017, ICPADS’2016, MSST’2010, IEEE NAS’2008 and SNAPI’2007. Dr. He has served as a proposal review panelist for NSF and a committee member for many professional conferences in the field.
Data storage and I/O system reliability has been a main concern for large scale data center and HPC systems. Big data applications have imposed unprecedented challenges in data analysis, storage, organization and understanding due to their heterogeneity, volume, complexity, and high velocity. In this talk, I will talk about my research in data storage and I/O systems, focusing on erasure codes and solid-state devices (SSDs) to provide cost effective solutions for big data management to achieve high performance and reliability.