Modeling and predicting measured response time of cloud-based web services using long-memory time series

@article{Nourikhah2014ModelingAP,
  title={Modeling and predicting measured response time of cloud-based web services using long-memory time series},
  author={Hossein Nourikhah and Mohammad Kazem Akbari and Mohammad Kalantari},
  journal={The Journal of Supercomputing},
  year={2014},
  volume={71},
  pages={673-696}
}
Predicting cloud performance from user’s perspective is a complex task, because of several factors involved in providing the service to the consumer. In this work, the response time of 10 real-world services is analyzed. We have observed long memory in terms of the measured response time of the CPU-intensive services and statistically verified this observation using estimators of the Hurst exponent. Then, naïve, mean, autoregressive integrated moving average (ARIMA) and autoregressive… CONTINUE READING
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