Aspects of Data-Intensive Cloud Computing

  • Sebastian Frischbier
  • Ilia Petrov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6462)


The concept of Cloud Computing is by now at the peak of public attention and adoption. Driven by several economic and technological enablers, Cloud Computing is going to change the way we have to design, maintain and optimise large-scale data-intensive software systems in the future. Moving large-scale, data-intensive systems into the Cloud may not always be possible, but would solve many of today’s typical problems. In this paper we focus on the opportunities and restrictions of current Cloud solutions regarding the data model of such software systems. We identify the technological issues coming along with this new paradigm and discuss the requirements to be met by Cloud solutions in order to provide a meaningful alternative to on-premise configurations.


Cloud Computing Grid Computing Cloud Service Application Programming Interface Cloud Provider 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sebastian Frischbier
    • 1
  • Ilia Petrov
    • 1
  1. 1.Databases and Distributed Systems GroupTechnische Universität DarmstadtGermany

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