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Business & Information Systems Engineering
Erschienen in: Business & Information Systems Engineering 2/2013

01.04.2013 | Research Paper

A Decision Support Model for Cloud Bursting

verfasst von: Dr. Markus Lilienthal

Erschienen in: Business & Information Systems Engineering | Ausgabe 2/2013

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Abstract

The cloud computing market divides into public (commercial) and private (self-provisioned) clouds. The concept of cloud bursting combines public and private clouds: The private cloud (internal resources) provides the computational capacity, but a part of the demand is offloaded onto public clouds. This article proposes an easy-to-apply economic decision support model for determining on the one hand the optimal size of the internal capacity for cloud bursting technology, and on the other hand the cost savings. The model uses an expected value approach that considers stochastic workload and is flexible with respect to the distribution choice. Two empirical examples demonstrate the applicability of the model.
Vorheriger Artikel Big Data
Nächster Artikel Reference Process Flows for Telecommunication Companies

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Metadaten
Titel
A Decision Support Model for Cloud Bursting
verfasst von
Dr. Markus Lilienthal
Publikationsdatum
01.04.2013
Verlag
SP Gabler Verlag
Erschienen in
Business & Information Systems Engineering / Ausgabe 2/2013
Print ISSN: 2363-7005
Elektronische ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-013-0257-5

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