PROV-TE: A Provenance-Driven Diagnostic Framework for Task Eviction in Data Centers

Albatli, A, McKee, D, Townend, P et al. (2 more authors) (2017) PROV-TE: A Provenance-Driven Diagnostic Framework for Task Eviction in Data Centers. In: 2017 IEEE Third International Conference on Big Data Computing Service and Applications (IEEE BigDataService 2017). IEEE BigDataService 2017, 06-10 Apr 2017, South San Francisco, California, USA. IEEE , pp. 233-242. ISBN 978-1-5090-6318-5



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Keywords: Big Data; Data Centers; Cyberinfrastructure; Cloud Computing; Overcommitment; Overload; Provenance; PROV; Simulation; Distributed Systems; Data models; Computational modeling; Google; Analytical models; Distributed databases; Standards
  • Published: 12 June 2017
  • Accepted: 14 February 2017
  • Published (online): 12 June 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 24 Feb 2017 12:44
Last Modified: 16 Jan 2018 20:15
Status: Published
Publisher: IEEE
Identification Number:

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