An Approach for Characterizing Workloads in Google Cloud to Derive Realistic Resource Utilization Models

Solis Moreno, I, Garraghan, P, Townend, PM et al. (1 more author) (2013) An Approach for Characterizing Workloads in Google Cloud to Derive Realistic Resource Utilization Models. In: Service Oriented System Engineering (SOSE), 2013 IEEE 7th International Symposium on. IEEE , 49 - 60 (12). ISBN 978-1-4673-5659-6

Abstract

Metadata

Authors/Creators:
  • Solis Moreno, I
  • Garraghan, P
  • Townend, PM
  • Xu, J
Copyright, Publisher and Additional Information: (c) 2013, IEEE. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Cloud computing workload patterns; MapReduce analysis; Resource usage patterns; Workload characterization
Dates:
  • Published: 2013
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: 02 Sep 2013 11:56
Last Modified: 15 Sep 2014 03:08
Published Version: http://dx.doi.org/10.1109/SOSE.2013.24
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/SOSE.2013.24

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