---
_id: '5685'
abstract:
- lang: eng
  text: In double-sided markets for computing resources an optimal allocation schedule
    among job offers and requests subject to relevant capacity constraints can be
    determined. With increasing storage demands and emerging storage services the
    question how to schedule storage jobs becomes more and more interesting. Since
    such scheduling problems are often in the class NP-complete an exact computation
    is not feasible in practice. On the other hand an approximation to the optimal
    solution can easily be found by means of using heuristics. The problem with this
    attempt is that the suggested solution may not be exactly optimal and is thus
    less satisfying. Considering the two above mentioned solution approaches one can
    clearly find a trade-off between the optimality of the solution and the efficiency
    to get to a solution at all. This work proposes to apply and combine heuristics
    in optimization to gain from both of their benefits while reducing the problematic
    aspects. Following this method it is assumed to get closer to the optimal solution
    in a shorter time compared to a full optimization.
author:
- first_name: Josef
  full_name: Finkbeiner, Josef
  last_name: Finkbeiner
- first_name: Christian
  full_name: Bodenstein, Christian
  last_name: Bodenstein
- first_name: Guido
  full_name: Schryen, Guido
  id: '72850'
  last_name: Schryen
- first_name: Dirk
  full_name: Neumann, Dirk
  last_name: Neumann
citation:
  ama: 'Finkbeiner J, Bodenstein C, Schryen G, Neumann D. Applying heuristic methods
    for job scheduling in storage markets. In: <i>18th European Conference on Information
    Systems (ECIS 2010)</i>. ; 2010.'
  apa: Finkbeiner, J., Bodenstein, C., Schryen, G., &#38; Neumann, D. (2010). Applying
    heuristic methods for job scheduling in storage markets. In <i>18th European Conference
    on Information Systems (ECIS 2010)</i>.
  bibtex: '@inproceedings{Finkbeiner_Bodenstein_Schryen_Neumann_2010, title={Applying
    heuristic methods for job scheduling in storage markets}, booktitle={18th European
    Conference on Information Systems (ECIS 2010)}, author={Finkbeiner, Josef and
    Bodenstein, Christian and Schryen, Guido and Neumann, Dirk}, year={2010} }'
  chicago: Finkbeiner, Josef, Christian Bodenstein, Guido Schryen, and Dirk Neumann.
    “Applying Heuristic Methods for Job Scheduling in Storage Markets.” In <i>18th
    European Conference on Information Systems (ECIS 2010)</i>, 2010.
  ieee: J. Finkbeiner, C. Bodenstein, G. Schryen, and D. Neumann, “Applying heuristic
    methods for job scheduling in storage markets,” in <i>18th European Conference
    on Information Systems (ECIS 2010)</i>, 2010.
  mla: Finkbeiner, Josef, et al. “Applying Heuristic Methods for Job Scheduling in
    Storage Markets.” <i>18th European Conference on Information Systems (ECIS 2010)</i>,
    2010.
  short: 'J. Finkbeiner, C. Bodenstein, G. Schryen, D. Neumann, in: 18th European
    Conference on Information Systems (ECIS 2010), 2010.'
date_created: 2018-11-14T15:45:11Z
date_updated: 2022-01-06T07:02:32Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
  content_type: application/pdf
  creator: hsiemes
  date_created: 2018-12-11T15:21:06Z
  date_updated: 2018-12-13T15:19:40Z
  file_id: '6188'
  file_name: s1-ln7055316-1881058806-1939656818Hwf-1884822883IdV-5442784107055316PDF_HI0001.pdf
  file_size: 171336
  relation: main_file
file_date_updated: 2018-12-13T15:19:40Z
has_accepted_license: '1'
keyword:
- Decision Support System
- Algorithms
- Optimization
- Market Engineering
language:
- iso: eng
oa: '1'
publication: 18th European Conference on Information Systems (ECIS 2010)
status: public
title: Applying heuristic methods for job scheduling in storage markets
type: conference
user_id: '61579'
year: '2010'
...