Specification and Quantitative Analysis of Probabilistic Cloud Deployment Patterns
Cloud computing is a new technological paradigm offering computing infrastructure, software and platforms as a pay-as-you-go subscription based service. Many potential customer's of cloud services require essential cost assessments to be undertaken before transitioning to the cloud. Current assessment techniques are imprecise and rely on simplified resource requirements that fail to account for probabilistic variations in usage. In this paper, the authors address these problems and propose a new Probabilistic Pattern Modeling (PPM) approach to cloud costing and resource usage assessment.