• DocumentCode
    720583
  • Title

    Enumeration System on HBase for Low-Latency

  • Author

    Hang Chen ; Kun Lu ; MingMing Sun ; ChangLong Li ; Hang Zhuang ; Xuehai Zhou

  • Author_Institution
    Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    1185
  • Lastpage
    1188
  • Abstract
    HBase is a popular distributed Key/Value storage system based on the idea of BigTable. It is being used in many data-centers, such as Facebook and Twitter, for their portability and scalability. For the system, low-latency and large storage is expected when used in industry. However, it is time consuming when retrieving one column via another one. Many technologies were considered to solve the problem. One approach is to add secondary index for HBase such as h index, which achieves high performance in retrieving. Unfortunately, when one column is of limited kinds of data, secondary index cannot reduce storage consumption when accelerating the retrieval. In this paper, we present a novel design of HBase to reduce storage consumption as well as accelerating the retrieval in the above situation. We design an enumeration system for HBase and provide an interface to create enumeration for specific column in tables. Our performance evaluation reveals that it achieves 2.27x improvement in retrieval and 12x reduction in storage compared with non-enumeration in HBase.
  • Keywords
    computer centres; redundancy; storage management; BigTable; Facebook; HBase; Twitter; data-center portability; data-center scalability; enumeration system; hindex; key-value storage system; performance evaluation; storage consumption; Cities and towns; Correlation; Indexes; Memory; Redundancy; Scalability; Servers; HBase; enumeration system; low-latency; redundancy; secondary index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.78
  • Filename
    7152617