Cloud Computing Deployment: A Cost-Modelling Case-Study

Jeremy Ellman; Nathan Lee; Nanlin Jin

doi:10.1007/s11276-018-1881-2

Cloud Computing Deployment: A Cost-Modelling Case-Study

Jeremy Ellman, Nathan Lee, Nanlin Jin

Computer and Information Sciences Department

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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Abstract

There are wide range of cloud services commercially available. However there is limited research that investigates the strengths and weaknesses of their cost models in relation to different types of usage requirements. We propose a new costing model that systematically evaluates cloud services, and which combines compute, disk storage, and memory requirements. This paper demonstrates the proposed costing model on a data set that was derived from a real-world industrial data centre workload by calculating the precise cost of service provision from two leading cloud providers.

Original language	English
Number of pages	8
Journal	Wireless Networks
Early online date	5 Dec 2018
DOIs	https://doi.org/10.1007/s11276-018-1881-2
Publication status	E-pub ahead of print - 5 Dec 2018
Event	8th EAI International Conference on Cloud Computing - Jurys Inn, Exeter, United Kingdom Duration: 4 Sept 2018 → 4 Sept 2018 http://cloudcomp.eu/

Keywords

Cloud computing costs
Industrial IT workload

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10.1007/s11276-018-1881-2Licence: CC BY

Ellman2018_Article_CloudComputingDeploymentACost-Final published version, 1.08 MBLicence: CC BY

Cite this

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Cloud Computing Deployment: A Cost-Modelling Case-Study

Abstract

Keywords

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