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Ein Entscheidungsmodell für Cloud-Bursting

A Decision Support Model for Cloud Bursting

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WIRTSCHAFTSINFORMATIK

Zusammenfassung

Der Cloud-Markt gliedert sich in Public Cloud-Computing (kommerziell vermarktet) und Private Cloud-Computing (selbst bereitgestellt). Das Konzept des Cloud-Bursting kombiniert Public und Private Cloud: Die Private Cloud (interne Ressourcen) stellt die Rechenkapazität zur Verfügung, aber ein Teil der Nachfrage wird in Public Clouds ausgelagert. Der Artikel stellt ein einfach anzuwendendes ökonomisches Entscheidungsmodell vor, das den optimalen Umfang der internen Kapazität bei und die Kostenersparnis durch Cloud-Bursting bestimmt. Das Modell basiert auf der Optimierung von Erwartungswerten mit stochastischer Workload und ist flexibel bezüglich der Wahl der Verteilung. Zwei empirische Beispiele demonstrieren die Einsetzbarkeit des Modells.

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.

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Authors and Affiliations

  1. E-FinanceLab, RuW-Gebäude, Raum 1.218, Goethe-Universität Frankfurt, Grüneburgplatz 1, 60323, Frankfurt am Main, Deutschland

    Markus Lilienthal

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  1. Markus Lilienthal
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Correspondence to Markus Lilienthal.

Additional information

Angenommen nach zwei Überarbeitungen durch Prof. Dr. Bichler.

This article is also available in English via http://www.springerlink.com and http://www.bise-journal.org: Lilienthal M (2013) A Decision Support Model for Cloud Bursting. Bus Inf Syst Eng. doi: 10.1007/s12599-013-0257-5.

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Lilienthal, M. Ein Entscheidungsmodell für Cloud-Bursting. Wirtschaftsinf 55, 69–81 (2013). https://doi.org/10.1007/s11576-013-0357-3

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  • DOI: https://doi.org/10.1007/s11576-013-0357-3

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