---
_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: 18th European Conference on Information
Systems (ECIS 2010). ; 2010.'
apa: Finkbeiner, J., Bodenstein, C., Schryen, G., & Neumann, D. (2010). Applying
heuristic methods for job scheduling in storage markets. In 18th European Conference
on Information Systems (ECIS 2010).
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 18th
European Conference on Information Systems (ECIS 2010), 2010.
ieee: J. Finkbeiner, C. Bodenstein, G. Schryen, and D. Neumann, “Applying heuristic
methods for job scheduling in storage markets,” in 18th European Conference
on Information Systems (ECIS 2010), 2010.
mla: Finkbeiner, Josef, et al. “Applying Heuristic Methods for Job Scheduling in
Storage Markets.” 18th European Conference on Information Systems (ECIS 2010),
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'
...