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    吴章玲, 金培权, 岳丽华, 孟小峰. 基于PCM的大数据存储与管理研究综述[J]. 计算机研究与发展, 2015, 52(2): 343-361. DOI: 10.7544/issn1000-1239.2015.20140116
    引用本文: 吴章玲, 金培权, 岳丽华, 孟小峰. 基于PCM的大数据存储与管理研究综述[J]. 计算机研究与发展, 2015, 52(2): 343-361. DOI: 10.7544/issn1000-1239.2015.20140116
    Wu Zhangling, Jin Peiquan, Yue Lihua, Meng Xiaofeng. A Survey on PCMBased Big Data Storage and Management[J]. Journal of Computer Research and Development, 2015, 52(2): 343-361. DOI: 10.7544/issn1000-1239.2015.20140116
    Citation: Wu Zhangling, Jin Peiquan, Yue Lihua, Meng Xiaofeng. A Survey on PCMBased Big Data Storage and Management[J]. Journal of Computer Research and Development, 2015, 52(2): 343-361. DOI: 10.7544/issn1000-1239.2015.20140116

    基于PCM的大数据存储与管理研究综述

    A Survey on PCMBased Big Data Storage and Management

    • 摘要: 大数据已经成为当前学术界和工业界的一个研究热点.但由于计算机系统架构的限制,大数据存储与管理在性能、能耗等方面均面临着巨大的挑战.近年来,一种新型存储介质——相变存储器(phase Change Memory, PCM)——凭着其非易失、字节可寻址、读取速度快、低能耗等诸多优点,为计算机存储体系结构和数据管理设计带来了新的技术变革前景,也为大数据存储和管理带来了新的契机.PCM既是一种非易失存储介质,同时又具备了内存的字节可寻址和高速随机访问特性,模糊了主存和外存的界限,有望突破原有的存储体系架构,实现更高性能的存储与数据管理.概述了PCM存储器的发展现状;总结了目前基于PCM的持久存储技术和基于PCM的主存系统等方面的研究进展;并讨论了PCM在多个领域的应用现状.最后,给出了基于PCM的大数据存储与管理研究的若干未来发展方向,从而为构建新型存储架构下的大数据存储与管理技术提供有价值的参考.

       

      Abstract: Big data has become a hot topic in both academia and industry. However, due to the limitations of current computer system architectures, big data management is facing a lot of new challenges w.r.t. performance, energy, etc. Recently, a new kind of storage media called phase change memory (PCM) introduces new opportunities for advancing computer architectures and big data management, due to its nonvolatility, byteaddressability, high read speed, low energy, etc. As a kind of nonvolatile storage media, PCM has some unique features of DRAM, such as byteaddressability and high readwrite performance, thus can be regarded as a crosslayer storage media for redesigning current storage architecture so as to realize highperformance storage. In this paper, we summarize the features of PCM, and present a survey on PCMbased data management. We discuss the related advances in terms of two aspects, namely that PCM is used as secondary storage and that PCM is used as main memory. We also introduce the current studies on the applications of PCM in various areas. Finally, we propose some future research directions on PCMbased data management so as to provide some valuable references for big data storage and management on new storage architectures.

       

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