Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters

Yang, R, Hu, C, Sun, X et al. (6 more authors) (2020) Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters. IEEE Transactions on Parallel and Distributed Systems, 31 (7). pp. 1499-1517. ISSN 1045-9219

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Yang, R
  • Hu, C
  • Sun, X
  • Garraghan, P
  • Wo, T
  • Wen, Z
  • Peng, H
  • Xu, J
  • Li, C
Copyright, Publisher and Additional Information:

© 2020, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.

Keywords: Task analysis; Resource management; Quality of service; Heart beat; Yarn; Decision making
Dates:
  • Published: 1 July 2020
  • Published (online): 28 January 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 09 Oct 2020 11:40
Last Modified: 10 Oct 2020 11:58
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/tpds.2020.2970013
Related URLs:
Open Archives Initiative ID (OAI ID):

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