Applying heuristic methods for job scheduling in storage markets

URN to cite this document:: urn:nbn:de:bvb:355-epub-212926
DOI to cite this document:: 10.5283/epub.21292

Finkbeiner, Josef ; Bodenstein, Christian ; Schryen, Guido ; Neumann, Dirk

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Date of publication of this fulltext: 27 Jun 2011 06:30

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Item type:	Conference or workshop item (UNSPECIFIED)
Date:	June 2010
Institutions:	Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Alumni or Retired Professors > Professur für Wirtschaftsinformatik (Prof. Dr. Guido Schryen)
Keywords:	Decision Support System, Algorithms, Optimization, Market Engineering
Dewey Decimal Classification:	300 Social sciences > 330 Economics 000 Computer science, information & general works > 000 Generalities, Science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	No
Item ID:	21292

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Abstract

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 ...

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