A flow-based prediction scheme to manage resources in enterprise data centers

Virtualization is widely used to enhance the utilization of the resources in the enterprise data centers. Migration can solve the resource shortage problem of a physical machine in virtualized environment. If the future resource usage can be predicted, the resource can be managed more efficiently. Auto Regression prediction scheme is well-known for its simplicity and accuracy, but it requires complex coefficient calculations. It is known that workloads of enterprise data center tend to have a specific pattern. In this environment, simpler prediction technique can be used without loss of accuracy. This paper introduces a flow-based prediction scheme which forecasts future resource usage when the usage has a pattern. Through the performance evaluation, we show that the proposed scheme outperforms the AR prediction scheme in terms of accuracy and overheads.