Workload Prediction in Cloud Environment during Seasonal Trend

Scalability and elasticity are very important features in Cloud environment. Analysis of workload can be done and future work load can be predicted for better resource allocation and efficacy of cloud platform. Workload and demand prediction will help to properly utilise the resources in cloud environment. A suitable model for the prediction is being developed. Here Genetic Algorithm is chosen in combination with statistical model to do the workload prediction .It is expected to give better result by producing less error rate and more accuracy of prediction compared to the previous algorithms.