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5 CONCLUSIONS
AND FURTHER STEPS
This approach provides a framework to evaluate
Cloud Computing from the view of a company
which wants to provide Cloud services to their
customer. The framework is based on previous
approaches from literature but enhances these with
further Cloud Computing specific aspects e.g., a
business IT alignment fit or data privacy. For an
evaluation with the business model of an IT provider
there are several analyses required e.g., a business
strategy analysis.
Further steps for the development of this
framework in practical use are:
The framework has to include analyses to
measure the business alignment and strategic impact
of each Cloud solution within the project scenario.
This analysis can be part of a strategic phase and
contains the identification of the business strategy
and objectives of the IT provider. Beside this, the
framework has to include detailed practical in-
structions and criteria for a company. In further steps
this developed guideline helps IT provider to do the
evaluation with a standardised approach to measure
the value of Cloud Computing within a specific
customer-driven project.
Finally the framework approach of this paper has
to be evaluated in an actual business scenario with
specific customer demands and business require-
ments. With the findings of this practical
implementation of this framework the approach can
be adjusted to the common business scenario of IT
providers.
REFERENCES
Amazon Inc. (2010). Amazon EC2 Pricing, Website:
http://aws.amazon.com/ec2/pricing/. Accessed at. 12th
Jan. 2011. Update: 7 December 2010.
Dias de Assunção, M. et al. (2009). Evaluating the cost-
benefit of using cloud computing to extend the
capacity of clusters. In: Proceedings of the
International Symposium on High Performance
Distributed Computing, pp. 141-150.
Baun, C. et al. (2010). Cloud Computing: Webbasierte
dynamische IT-Services. Springer, Berlin, Germany.
Chang, V. (2010): Investigating the Cloud Computing
Business Framework - Modelling and Benchmarking
of Financial Assets and job submissions in Clouds. In:
UK e-Science All Hands Meeting 2010, Research
Clouds: Hype or Reality Workshop, September 2010.
Dodani, M. (2009). The Silver Lining of Cloud Computing.
In: Journal of Object Technology, Vol. 8, No. 2,
March 2009, pp. 29-38.
Eren, U., Yates, D. J. (2010). Enterprise Fraud
Management Using Cloud Computing: A Cost-Benefit
Analysis Framework. In: Eighteenth European
Conference on Information Systems.
Friedrich, P. (2008). Allgemeine TCO-Betrachtungen zum
aktuellen IBM-Mainframe System z10. In: e-Journal of
Practical Business Research, Vol. 6 (December 2008).
Gartner Inc (2010). Gartner's 2010 Hype Cycle Special
Report Evaluates Maturity of 1,800 Technologies,
Stamford, USA, 2010. Website:
http://www.gartner.com/it/page.jsp?id=1447613.
Accessed at. 22th Dec. 2010. Update: 7 October 2010.
Henneberger, M. et al. (2010). Ein Entscheidungsmodell
für den Einsatz von Cloud Computing in
Unternehmen. In: HMD - Praxis der Wirtschafts-
informatik, Vol. 275 (October 2010), pp. 79-84.
Jayatilaka, B.et al. (2003). Determinants of ASP choice:
an integrated perspective. In: European Journal of
Information Systems, Vol. 13, pp. 210 - 224.
Klems, M. et al. (2009). Do Clouds Compute? – A Frame-
work for Estimating the Value of Cloud Computing.
In: Business Information Processing, Vol. 22, January
2009, pp. 110-123.
Kondo, D. et al. (2009). Cost-Benefit Analysis of Cloud
Computing versus Desktop Grids. In: IEEE
International Symposium on Parallel & Distributed
Processing, May 2009.
Koomey, J. (2007). A simple Model for Determing True
Total Cost of Ownership for Data Centers, Uptime
Institute, Santa Fe, USA.
Kram, M. (2010). Konzeption eines Bewertungsmodells
zur Evaluierung von Cloud-Sourcing-/Utility-
Sourcing-Strategien, Stuttgart Media University,
Stuttgart, Germany.
Lacity, M. C. et al. (1996). The Value of Selective IT
Sourcing. In: Sloan Management Review, No. 37,
April 1996, pp. 13 - 25.
Matros, R. et al. (2009). Make-or-Buy im Cloud
Computing – Ein entscheidungsorientiertes Modell für
den Bezug von Amazon Web Services. In: Bayreuther
Arbeitspapiere zur Wirtschaftsinformatik, No. 45
(March 2009).
Martens, B. et al. (2010). Datenbank und Reifegradmodell
für die Auswahl und Bewertung von Cloud Computing
Services. In: HMD - Praxis der Wirtschaftsinformatik,
Vol. 275 (October 2010), pp. 52-61.
Mell, P.; Grance, T. (2009). Definition of Cloud
Computing. Version 15, National Institute of
Standards and Technology, Gaithersburgg, USA.
O’Neil, M; Dubowski, S. (2010). All About Cloud ROI. In:
IT Market Dynamics.
Opitz, A. et al. (2008). What Does Grid Computing Cost?
In: Journal of Grid Computing, Vol. 6, No. 4
(December 2008), pp. 385-397.
Stanoevska-Slabeva, K.; Wozniak, T. (2010). Grid and
Cloud Computing: A Business Perspective on Tech-
neology and Applications. Springer, Berlin, Germany.
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