booktitle = "2015 IEEE International Conference on Mobile
Services",
title = "Applying Genetic Programming for Time-Aware Dynamic
QoS Prediction",
year = "2015",
pages = "217--224",
abstract = "A common defect of most current QoS information
exposed is that they are static and did not consider
some facts (e.g., Different calling time points) that
can cause the actual values of some types of QoS to
vary. A solution for such issue is to develop a valid
forecasting mechanism able to predict future dynamic
QoS values. In the past, several such forecasting
approaches already have been developed. However, many
of them are based on fixed statistical models and the
others' prediction generation process is not
understandable and observable. In this paper, we
propose to employ Genetic Programming (GP), which is a
powerful predictor searching/learning paradigm with
very great performance reports in many other
forecasting applications and never being applied to
dynamic QoS forecasting yet. In this work, we study
applying GP to the defined time-aware QoS forecasting
problem and we report our experiment results showing
and verifying the applicability and performance of GP
to the problem.",