Data Management Challenges and Opportunities in Cloud Computing

  • Kyuseok Shim
  • Sang Kyun Cha
  • Lei Chen
  • Wook-Shin Han
  • Divesh Srivastava
  • Katsumi Tanaka
  • Hwanjo Yu
  • Xiaofang Zhou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7239)

Abstract

Analyzing large data is a challenging problem today, as there is an increasing trend of applications being expected to deal with vast amounts of data that usually do not fit in the main memory of a single machine. For such data-intensive applications, database research community has started to investigate cloud computing as a cost effective option to build scalable parallel data management systems which are capable of serving petabytes of data for millions of users. The goal of this panel is to initiate an open discussion within the community on data management challenges and opportunities in cloud computing. Potential topics to be discussed in the panel include: MapReduce framework, shared-nothing architecture, parallel query processing, security, analytical data management, transactional data management and fault tolerance.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kyuseok Shim
    • 1
  • Sang Kyun Cha
    • 1
  • Lei Chen
    • 2
  • Wook-Shin Han
    • 3
  • Divesh Srivastava
    • 4
  • Katsumi Tanaka
    • 5
  • Hwanjo Yu
    • 6
  • Xiaofang Zhou
    • 7
  1. 1.Seoul National UniversityKorea
  2. 2.Hong Kong University of Science and TechnologyHong Kong
  3. 3.Kyungpook National UniversityKorea
  4. 4.AT&T Labs-ResearchUSA
  5. 5.Kyoyo UniversityJapan
  6. 6.POSTECHKorea
  7. 7.University of QueenslandAustralia

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