QoS-Aware Co-Scheduling for Distributed Long-Running Applications on Shared Clusters

Zhu, J, Yang, R orcid.org/0000-0001-6334-4925, Sun, X et al. (6 more authors) (2022) QoS-Aware Co-Scheduling for Distributed Long-Running Applications on Shared Clusters. IEEE Transactions on Parallel and Distributed Systems, 33 (12). pp. 4818-4834. ISSN 1045-9219

Abstract

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Item Type: Article
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© 2022 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

Keywords: Resource scheduling, cluster management, QoS, tail latency, datacenters
Dates:
  • Published: 1 December 2022
  • Published (online): 29 August 2022
  • Accepted: 23 August 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
EPSRC (Engineering and Physical Sciences Research Council)
EP/T01461X/1
Depositing User: Symplectic Publications
Date Deposited: 25 Aug 2022 14:12
Last Modified: 25 Jun 2023 23:05
Status: Published
Publisher: IEEE
Identification Number: 10.1109/TPDS.2022.3202493
Open Archives Initiative ID (OAI ID):

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