Open AccessComputer Science

Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS

R. Calheiros, Enayat Masoumi, R. Ranjan, R. Buyya

2015.10.1IEEE Transactions on Cloud Computing

DOI: 10.1109/tcc.2014.2350475

tlooto Summary

The realization of a cloud workload prediction module for SaaS providers based on the autoregressive integrated moving average (ARIMA) model is presented and its accuracy of future workload prediction is evaluated using real traces of requests to Web servers.

Abstract

Abstract is not available.

Citation format

CALHEIROS, R., et al. Workload prediction using ARIMA model and its impact on cloud applications’ qos. IEEE Transactions on Cloud Computing, 2015, 3: 449–458.