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Aspects of Data-Intensive Cloud Computing

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From Active Data Management to Event-Based Systems and More

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6462))

Abstract

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.

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Author information

Authors and Affiliations

  1. Databases and Distributed Systems Group, Technische Universität Darmstadt, Germany

    Sebastian Frischbier & Ilia Petrov

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  1. Sebastian Frischbier
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  2. Ilia Petrov
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Editors and Affiliations

  1. FB Informatik/DVS, Technische Universität, Hochschulstraße 10, 64289, Darmstadt, Germany

    Kai Sachs , Ilia Petrov  & Pablo Guerrero ,  & 

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Frischbier, S., Petrov, I. (2010). Aspects of Data-Intensive Cloud Computing. In: Sachs, K., Petrov, I., Guerrero, P. (eds) From Active Data Management to Event-Based Systems and More. Lecture Notes in Computer Science, vol 6462. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17226-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-17226-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17225-0

  • Online ISBN: 978-3-642-17226-7

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