Tolerating Transient Late-Timing Faults in Cloud-Based Real-Time Stream Processing

Garraghan, P, Perks, S, Ouyang, X et al. (2 more authors) (2016) Tolerating Transient Late-Timing Faults in Cloud-Based Real-Time Stream Processing. In: Proceedings: 2016 IEEE 19th International Symposium on Real-Time Distributed Computing. ISORC 2016, 17-20 May 2016, York, UK. IEEE , pp. 108-115. ISBN 978-1-4673-9032-3

Abstract

Metadata

Authors/Creators:
  • Garraghan, P
  • Perks, S
  • Ouyang, X
  • McKee, D
  • Solis Moreno, I
Copyright, Publisher and Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: Fault-tolerance; Stram Processing; Data Prediction; Cloud computing; Prediction algorithms, Real-time systems, Fault tolerant systems, Transient analysis, Quality of service, Predictive models
Dates:
  • Published: 21 July 2016
  • Accepted: 20 March 2016
  • Published (online): 21 July 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Jun 2016 09:40
Last Modified: 16 Nov 2016 08:17
Published Version: http://dx.doi.org/10.1109/ISORC.2016.24
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/ISORC.2016.24

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