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Context-aware Data-flow in the Cloud
University of Halle, Germany.
University of Halle, Germany.
Linnaeus University, Faculty of Technology, Department of Computer Science. (Software Technology Labs)ORCID iD: 0000-0002-7565-3714
2013 (English)In: Cloud Computing 2013 : The Fourth International Conference on Cloud Computing, GRIDs, and Virtualization, 2013, 81-86 p.Conference paper, Published paper (Refereed)
Abstract [en]

In the last few months, clients of services running in a cloud are getting more and more aware of storing and processing their data in the cloud. In this paper, we present a context-aware data-flow analysis approach to allow clients to negotiate services that store or process (directly or indirectly) their data in undesired locations. The approach is context- aware to satisfy the stateless character of services in a multi- tenant cloud. We show that the use of a dynamic context-aware data-flow analysis ensures that the clients’ data does not reach undesired locations in the cloud.

Place, publisher, year, edition, pages
2013. 81-86 p.
National Category
Computer Science
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-25883OAI: oai:DiVA.org:lnu-25883DiVA: diva2:623506
Conference
The Fourth International Conference on Cloud Computing, GRIDs, and Virtualization CLOUD COMPUTING 2013 May 27 - June 1, 2013 - Valencia, Spain
Available from: 2013-05-27 Created: 2013-05-27 Last updated: 2017-01-27Bibliographically approved

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Löwe, Welf

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf