An optimized method for Adaptive Cloud computing event judgment: Adaptive STAR

Abstract

There exist a large number of complex models and methods for judging the size, cost and plan of information system events. However, the ability to accurately forecast the cost of cloud computing information system for Adaptive events is still uncertain. The most suitable cloud computing information system cost judgment in an Adaptive development environment is a big problem because of various user demand and different capabilities. Also, the need to develop an individual model to estimate cloud computing event is rising. In this research paper, we present Adaptive STAR, a method to model information system cost judgment process which will evaluate effort and cost of information system development for cloud computing events, thereby satisfying multi-standard by making use of Project Management model, a famous classic Algorithmic technique. Most importantly, the paper distinguishes the difference between classic and cloud computing events. The proposed judgment model strengthens the level of features in the planning stages.