Applying Genetic Programming for Time-Aware Dynamic QoS Prediction

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Syu:2015:ieeeICMS,
  author =       "Yang Syu and Yong-Yi Fanjiang and Jong-Yih Kuo and 
                 Shang-Pin Ma",
  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.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/MobServ.2015.39",
  ISSN =         "2329-6429",
  month =        jun,
  notes =        "Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ.
                 of Technol., Taipei, Taiwan

                 Also known as \cite{7226693}",
}

Genetic Programming entries for Yang Syu Yong-Yi Fanjiang Jong-Yih Kuo Shang-Pin Ma

Citations