Towards better cross-cloud data integration: using p2p and ETL together

  • Authors:
  • Jian Dai;Shuanzhu Du

  • Affiliations:
  • Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
  • Year:
  • 2012

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Abstract

Cloud computing has been increasingly used in a variety of scenarios and environments to deal with huge amounts of data, accordingly, data integration among different clouds have also been extensively concerned by both academia and the business community. With the division of private and public clouds and different contents and functions of clouds, cross-cloud data integration becomes a grand challenge. Various methods are proposed to cope with the challenge; however, how to achieve better cross-cloud data integration still involves a lot of tradeoff analysis. In this paper, we propose weaving P2P technique into ETL process to integrate cross-cloud data. And we built a middleware prototype system to testify the feasibility of our approach.