Abstract
This paper attempts to extend current research efforts in cloud computing by creating a value model for ICT organisations to objectively determine to invest in either cloud computing or continue investing with on premise hosting options. The model will attempt to factor ICT organisations’ business attributes, financial attributes and technical attributes to provide a balanced view. Previously the authors of this paper have proposed a Cloud Computing Tipping Point model to address these gaps in research. The author also attempts to enable the model with package of services to exchange information with 3rd parties and agents that consumes the model. This paper attempts to validate the Cloud Computing Tipping Point model by leveraging surveys. The paper also attempts to validate the model by creating an artifact to demonstrate the model’s capability. It continues to discusses the authors attempt to enable service centric capability by leveraging service oriented architecture (SOA) concepts. This paper concludes by introducing a standard based XML taxonomy to exchange information between the model and its clients or agents.
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Peiris, C., Sharma, D., Balachandran, B. (2010). Validating and Designing a Service Centric View for C2TP: Cloud Computing Tipping Point Model. In: Phillips-Wren, G., Jain, L.C., Nakamatsu, K., Howlett, R.J. (eds) Advances in Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14616-9_41
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DOI: https://doi.org/10.1007/978-3-642-14616-9_41
Publisher Name: Springer, Berlin, Heidelberg
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