Using Structural Similarity to Predict Future Workload Behavior in the Cloud

Predicting workload behavior, in response to changes in allocated resources, is a critical part of effective resource management in the cloud. This paper presents a novel approach to predicting the future behavior of a reference workload based on a nearest neighbor similarity search in euclidean space. The proposed approach involves identifying a similar workload candidate, predicting the future behavior of the reference based on the candidate...