An user-centric billing model for cloud computing

This paper proposed a more user centered billing model that allows the user to make an informed decision on selecting from a set of cloud offerings or between offerings from different clouds. An architecture for Infrastructure as a Service for such a billing model is presented. This billing model requires the estimation of costs for various configurations of computational requirement. Such a scenario would require estimation of application execution time. This paper evaluates the Worst Case Execution Time techniques available for real time systems for the cloud computing context. A neural network based application execution time based on non-mission critical systems, user specified parameters (e.g., CPU, operating system, and database parameters), historical training data and limited simulations is presented here.