大数据 ›› 2017, Vol. 3 ›› Issue (5): 70-82.doi: 10.11959/j.issn.2096-0271.2017053

• 研究 • 上一篇    下一篇

基于新型存储的大数据存储管理

金培权1,2   

  1. 1 中国科学技术大学计算机科学与技术学院,安徽 合肥 230027
    2 中国科学院电磁空间信息重点实验室,安徽 合肥 230027
  • 出版日期:2017-09-20 发布日期:2017-10-24
  • 作者简介:金培权(1975-),男,博士,中国科学技术大学计算机科学与技术学院和中国科学院电磁空间信息重点实验室副教授、硕士生导师,目前主要从事大数据与数据库领域的研究工作,近年来主持了20余项科研项目,包括5项国家自然科学基金项目和2项“863”计划项目,在VLDB Journal、TKDE、TPDS、ICDE、WWW等本领域著名期刊和会议上发表论文20余篇,曾获中国科学院院长奖、NPC 2014最佳论文奖、DASFAA 2015最佳海报奖、NDBC 2012最佳论文提名奖以及NDBC 2011最佳系统演示奖。
  • 基金资助:
    国家自然科学基金资助项目(61672479)

Big data storage management based on new storage

Peiquan JIN1,2   

  1. 1 School of Computer Science and Technology,University of Science and Technology of China,Hefei 230027,China
    2 Key Laboratory of Electromagnetic Space Information,Chinese Academy of Sciences,Hefei 230027,China
  • Online:2017-09-20 Published:2017-10-24
  • Supported by:
    The National Natural Science Foundation of China(61672479)

摘要:

如何高效地存储大数据并支持实时大数据处理与分析是大数据技术发展面临的首要问题。近年来,以相变存储器、闪存等为代表的新型存储为实现高效的大数据存储和管理提供了新思路。以相变存储器为代表的存储级主存技术为切入点,针对大数据存储与管理中的高效存储、实时处理等存在的挑战,讨论了面向新型存储的大数据存储管理研究现状,并对未来基于新型存储的大数据研究进行了展望。

关键词: 相变存储器, 大数据管理, 新型存储, 存储管理

Abstract:

How to efficiently store big data and support real-time big data processing and analysis has been the most critical issue in the development of big data technologies.Recently,new storage media such as phase change memory and flash memory provides new opportunities for developing an efficient framework for big data storage and management.Based on the challenges of efficient storage and real-time processing in big data storage and management,storage class memories were focused,which were represented by phase change memory,and the state of the art of new-storage-based big data storage management was discussed.Finally,some future research directions for new-storage-based big data storage management were proposed.

Key words: phase change memory, big data management, new storage, storage management

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