ML-NA: A Machine Learning Based Node Performance Analyzer Utilizing Straggler Statistics

Ouyang, X, Wang, C, Yang, R et al. (3 more authors) (2018) ML-NA: A Machine Learning Based Node Performance Analyzer Utilizing Straggler Statistics. In: 2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS). ICPADS 2017, 15-17 Dec 2017, Shenzhen, China. IEEE , pp. 73-80. ISBN 978-1-5386-2129-5

Abstract

Metadata

Authors/Creators:
  • Ouyang, X
  • Wang, C
  • Yang, R
  • Yang, G
  • Townend, P
  • Xu, J
Copyright, Publisher and Additional Information: This is an author produced version of a paper accepted for publication in Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS . 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. Uploaded in accordance with the publisher’s self-archiving policy.
Keywords: Node Performance; Straggler Problem; Machine Learning; Prediction
Dates:
  • Published: 31 May 2018
  • Accepted: 1 September 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: 26 Sep 2017 15:36
Last Modified: 13 Jul 2018 13:24
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/ICPADS.2017.00021

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