Self-adaptive workload classification and forecasting for proactive resource provisioning

@article{Herbst2013SelfadaptiveWC,
  title={Self-adaptive workload classification and forecasting for proactive resource provisioning},
  author={Nikolas Roman Herbst and Nikolaus Huber and Samuel Kounev and Erich Amrehn},
  journal={Concurrency and Computation: Practice and Experience},
  year={2013},
  volume={26},
  pages={2053-2078}
}
As modern enterprise software systems become increasingly dynamic, workload forecasting techniques are gaining in importance as a foundation for online capacity planning and resource management. Time series analysis offers a broad spectrum of methods to calculate workload forecasts based on history monitoring data. Related work in the field of workload forecasting mostly concentrates on evaluating specific methods and their individual optimisation potential or on predicting Quality-of-Service… CONTINUE READING
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