With pay-per-use pricing models, elastic scaling of resources, and the use of shared virtualized infrastructures, cloud computing offers more efficient use of capital and agility. To leverage the advantages of cloud computing, organizations have to introduce cloud-specific chargeback practices. Organizations have to allocate IT service costs to business users in a way that reflects service consumption. To help organizations become effective users of cloud services, this article provides an overview of the factors that influence chargeback in the cloud services. This is an initial work that determines the factors influencing the chargeback in the cloud services. The findings of this research facilitate organizations to realize the implications of the cloud for their chargeback .
With pay-per-use pricing models, elastic scaling of resources, and the usage of shared virtualized infrastructure, the Cloud offers more efficient use of capital, great cost reductions, and breakthrough agility. Yet, this new IT provisioning model profoundly changes the economics of IT. It turns out that to leverage the Cloud advantages, to realize the possible cost reductions, and to provide business consumers with the flexibility of pay-per-use, organizations have to introduce Cloud-friendly chargeback models. That is, they have to allocate IT service costs to business users in a way that reflects service consumption. To help organization transition to a Cloud environment, this work provides answers to three questions. Firstly, it explains how the Cloud impacts chargeback and why it requires new chargeback models. Secondly, it reveals what factors impact the design of a successful chargeback model for a Cloud environment. Finally, it proposes a Cloud-Chargeback Meta-Model (CCMM) that describes the structure of a chargeback model for Cloud services, offers guidelines how make the most important chargeback decisions and how to charge for the different types of Cloud services. The findings presented below are based on an extensive overview of the management and scientific literature, and on interviews and workshops with 47 field experts from IBM and eight large organizations in the client and partner network of IBM.
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