Database Systems for Advanced Applications

Volume 7239 of the series Lecture Notes in Computer Science pp 323-323

Data Management Challenges and Opportunities in Cloud Computing

  • Kyuseok ShimAffiliated withSeoul National University
  • , Sang Kyun ChaAffiliated withSeoul National University
  • , Lei ChenAffiliated withHong Kong University of Science and Technology
  • , Wook-Shin HanAffiliated withKyungpook National University
  • , Divesh SrivastavaAffiliated withAT&T Labs-Research
  • , Katsumi TanakaAffiliated withKyoyo University
  • , Hwanjo YuAffiliated withPOSTECH
  • , Xiaofang ZhouAffiliated withUniversity of Queensland

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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.