---
_id: '1998'
abstract:
- lang: eng
  text: "Nearly all existing HPC systems are operated by resource management systems
    based on the queuing approach. With the increasing acceptance of grid middleware
    like Globus, new requirements for the underlying local resource management systems
    arise. Features like advanced reservation or quality of service are needed to
    implement high level functions like co-allocation. However it is difficult to
    realize these features with a resource management system based on the queuing
    concept since it considers only the present resource usage.\r\n\r\nIn this paper
    we present an approach which closes this gap. By assigning start times to each
    resource request, a complete schedule is planned. Advanced reservations are now
    easily possible. Based on this planning approach functions like diffuse requests,
    automatic duration extension, or service level agreements are described. We think
    they are useful to increase the usability, acceptance and performance of HPC machines.
    In the second part of this paper we present a planning based resource management
    system which already covers some of the mentioned features."
author:
- first_name: Matthias
  full_name: Hovestadt, Matthias
  last_name: Hovestadt
- first_name: Odej
  full_name: Kao, Odej
  last_name: Kao
- first_name: Axel
  full_name: Keller, Axel
  id: '15274'
  last_name: Keller
- first_name: Achim
  full_name: Streit, Achim
  last_name: Streit
citation:
  ama: 'Hovestadt M, Kao O, Keller A, Streit A. Scheduling in HPC Resource Management
    Systems: Queuing vs. Planning. In: <i>Proc. Workshop on Job Scheduling Strategies
    for Parallel Processing (JSSPP)</i>. Vol 2862. Lecture Notes in Computer Science.
    Berlin / Heidelberg; 2003:1-20. doi:<a href="https://doi.org/10.1007/10968987_1">10.1007/10968987_1</a>'
  apa: 'Hovestadt, M., Kao, O., Keller, A., &#38; Streit, A. (2003). Scheduling in
    HPC Resource Management Systems: Queuing vs. Planning. In <i>Proc. Workshop on
    Job Scheduling Strategies for Parallel Processing (JSSPP)</i> (Vol. 2862, pp.
    1–20). Berlin / Heidelberg. <a href="https://doi.org/10.1007/10968987_1">https://doi.org/10.1007/10968987_1</a>'
  bibtex: '@inproceedings{Hovestadt_Kao_Keller_Streit_2003, place={Berlin / Heidelberg},
    series={Lecture Notes in Computer Science}, title={Scheduling in HPC Resource
    Management Systems: Queuing vs. Planning}, volume={2862}, DOI={<a href="https://doi.org/10.1007/10968987_1">10.1007/10968987_1</a>},
    booktitle={Proc. Workshop on Job Scheduling Strategies for Parallel Processing
    (JSSPP)}, author={Hovestadt, Matthias and Kao, Odej and Keller, Axel and Streit,
    Achim}, year={2003}, pages={1–20}, collection={Lecture Notes in Computer Science}
    }'
  chicago: 'Hovestadt, Matthias, Odej Kao, Axel Keller, and Achim Streit. “Scheduling
    in HPC Resource Management Systems: Queuing vs. Planning.” In <i>Proc. Workshop
    on Job Scheduling Strategies for Parallel Processing (JSSPP)</i>, 2862:1–20. Lecture
    Notes in Computer Science. Berlin / Heidelberg, 2003. <a href="https://doi.org/10.1007/10968987_1">https://doi.org/10.1007/10968987_1</a>.'
  ieee: 'M. Hovestadt, O. Kao, A. Keller, and A. Streit, “Scheduling in HPC Resource
    Management Systems: Queuing vs. Planning,” in <i>Proc. Workshop on Job Scheduling
    Strategies for Parallel Processing (JSSPP)</i>, 2003, vol. 2862, pp. 1–20.'
  mla: 'Hovestadt, Matthias, et al. “Scheduling in HPC Resource Management Systems:
    Queuing vs. Planning.” <i>Proc. Workshop on Job Scheduling Strategies for Parallel
    Processing (JSSPP)</i>, vol. 2862, 2003, pp. 1–20, doi:<a href="https://doi.org/10.1007/10968987_1">10.1007/10968987_1</a>.'
  short: 'M. Hovestadt, O. Kao, A. Keller, A. Streit, in: Proc. Workshop on Job Scheduling
    Strategies for Parallel Processing (JSSPP), Berlin / Heidelberg, 2003, pp. 1–20.'
date_created: 2018-03-29T11:37:24Z
date_updated: 2022-01-06T06:54:17Z
department:
- _id: '27'
doi: 10.1007/10968987_1
intvolume: '      2862'
keyword:
- High Performance Computing
- Service Level Agreement
- Grid Resource
- Resource Management System
- Advance Reservation
language:
- iso: eng
page: 1-20
place: Berlin / Heidelberg
publication: Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP)
publication_status: published
series_title: Lecture Notes in Computer Science
status: public
title: 'Scheduling in HPC Resource Management Systems: Queuing vs. Planning'
type: conference
user_id: '15274'
volume: 2862
year: '2003'
...