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Cluster Computing

, Volume 18, Issue 3, pp 1285–1294 | Cite as

A network approach for managing and processing big cancer data in clouds

  • Wei Xing
  • Wei Jie
  • Dimitrios Tsoumakos
  • Moustafa Ghanem
Article

Abstract

Translational cancer research requires integrative analysis of multiple levels of big cancer data to identify and treat cancer. In order to address the issues that data is decentralised, growing and continually being updated, and the content living or archiving on different information sources partially overlaps creating redundancies as well as contradictions and inconsistencies, we develop a data network model and technology for constructing and managing big cancer data. To support our data network approach for data process and analysis, we employ a semantic content network approach and adopt the CELAR cloud platform. The prototype implementation shows that the CELAR cloud can satisfy the on-demanding needs of various data resources for management and process of big cancer data.

Keywords

Big data Data network Cloud computing 

Notes

Acknowledgments

We thank the Scientific Computing team and RNA Biology Group at CRUK MI for their helpful comments. We would like to thank EU CELAR project partners, in particular, the Laboratory for Internet Computing (LINC), University of Cyprus.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Wei Xing
    • 1
  • Wei Jie
    • 2
  • Dimitrios Tsoumakos
    • 3
  • Moustafa Ghanem
    • 4
  1. 1.Cancer Research UK Manchester InstituteUniversity of ManchesterManchesterUK
  2. 2.School of Computing and TechnologyUniversity of West LondonLondonUK
  3. 3.Computing Systems LaboratoryNational Technical University of AthensAthensGreece
  4. 4.Department of Computer ScienceUniversity of MiddlsexLondonUK

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