ZTE

ZTE Communications ›› 2017, Vol. 15 ›› Issue (1): 35-42.DOI: 10.3969/j.issn.1673-5188.2017.01.006

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A Survey of System Software Techniques for Emerging NVMs

BAI Tongxin1, DONG Zhenjiang2, CAI Manyi1, FAN Xiaopeng1, XU Chengzhong1, LIU Lixia2   

  1. 1.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
    2.ZTE Corporation, Nanjing 210012, China
  • Received:2016-10-14 Online:2017-02-25 Published:2019-12-24
  • About author:BAI Tongxin (tx.bai@siat.ac.cn) obtained a PhD degree of Computer Science from the University of Rochester, USA. He is an associate professor at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research interest concerns the interplay of programming language technology and big data systems.|DONG Zhenjiang (dong.zhengjiang@zte.com.cn) graduated from Harbin Institute of Technology, China. He is the vice president of Cloud Computing & IT Institute of ZTE Corporation, and the executive director of China Artificial Intelligent Association and of the Standing Committee of CCF on Service Computing. He is responsible for research and development of intelligent networks, customer services, IPTV and cloud computing, and has presided a number of national key R & D projects. His research achievements have been used in dozens of countries. His research interests are big data, AI and network security.|CAI Manyi (my.cai@siat.ac.cn) is currently a master student at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. Her current research interests include database systems and big data systems.|FAN Xiaopeng (xp.fan@siat.ac.cn) received his B.E. and M.E. degrees in computer science from Xidian University, China in 2001 and 2004 respectively. He received his Ph.D. degree in computer science from Hong Kong Polytechnic University, China in 2010. He is currently an associate professor at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research interests include big data analytics, mobile cloud computing and software engineering. His recent research has focused on big data analytics in urban computing. He has published more than 30 papers in conferences and journals, and served as a TPC member for several conferences. He is a member of IEEE and ACM.|XU Chengzhong (cz.xu@siat.ac.cn) received his Ph.D. degree from the University of Hong Kong, China in 1993. He is currently a professor of the Department of Electrical and Computer Engineering of Wayne State University, USA. He also holds an adjunct appointment with the Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences as the Director of the Institute of Advanced Computing and Data Engineering. His research interest is in parallel and distributed systems and cloud computing. He has published more than 200 papers in journals and conferences with more than 7000 citations.|LIU Lixia (liu.lixia@zte.com.cn) received the M.S. degree from Ocean University of China in 2008. She is a senior engineer in the System Architecture Department of ZTE Corporation. Her research interests include text mining, bid data analysis and mining, machine learning, mathematical statistics, and cloud computing.

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Abstract:

The challenges of power consumption and memory capacity of computers have driven rapid development on non-volatile memories (NVM). NVMs are generally faster than traditional secondary storage devices, write persistently and many offer byte addressing capability. Despite these appealing features, NVMs are difficult to manage and program, which makes it hard to use them as a drop-in replacement for dynamic random-access memory (DRAM). Instead, a majority of modern systems use NVMs through the IO and the file system abstractions. Hiding NVMs under these interfaces poses challenges on how to exploit the new hardware’s performance potential in the existing system software framework. In this article, we survey the key technical issues arisen in this area and introduce several recently developed systems each of which offers novel solutions around these issues.

Key words: non-volatile memory, persistent memory, file system, IO system