Analysing cloud simulation results using big data analytics model

Cloud computing has come as a revolutionizing paradigm that brings the computing world one step closer to achieving computing as a utility. To analyze the feasibility, performance and cost measures of such applications there are very few inaccurate simulated techniques available. On the other hand, big data analytics has opened up a new set of techniques in data analytics. Efficient analysis of data in any volume, velocity and variety helps knowledge workers to gain business insights in many dimensions. Hence, applying big data analytics to analyze the performance and cost measures of cloud systems in the pre-deployment phase will help to overcome the simulated analytical issues faced by the cloud vendors and buyers. In this paper, simulation is performed on the intended cloud environment in an application specific way and the specific parameters are extracted. Populating all possible values in all scenarios for those parameter and then applying big data analytics to produce accurate measures and business insights.