Self-similarity: Behind workload reshaping and prediction

Energy efficiency has become one of the most important challenges in designing future computing systems. Workload reshaping and prediction have a significant impact on the energy conservation of computer components. In this paper, by using three HTTP traffic traces, we perform various evaluations to explore the possible reasons and indications which impact the workload reshaping and prediction. The experimental results indicate that the principles of reshaping workload to improve prediction quality are constructing or improving the self-similarity of the reshaped workloads.

► We analyze real traces to explore the indications behind workload reshaping.
► Constructing or improving the self-similarity of reshaped workloads is the key.
► Experimental results can be used to save energy consumption from computer components.