Review paper
Using Structural Similarity to Predict Future Workload Behavior in the Cloud
Published: Jul 1, 2019
Abstract
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...
Paper Details
Title
Using Structural Similarity to Predict Future Workload Behavior in the Cloud
Published Date
Jul 1, 2019
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