--- _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' ...