Predicting unknown QoS value with QoS-Prophet

  • Authors:
  • You Ma;Shangguang Wang;Qibo Sun;Hua Zou;Fangchun Yang

  • Affiliations:
  • Beijing University of Posts and Telecommunications, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China;Beijing University of Posts and Telecommunications, Beijing, China

  • Venue:
  • Proceedings Demo & Poster Track of ACM/IFIP/USENIX International Middleware Conference
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We have witnessed the widespread adoption of Collaborative Filtering (CF) in prediction of unknown QoS value. Existing approaches have neglected that CF idea was originated from the processing of subjective data, movies scores for example. However, QoS value is objective, therefore the existing CF-based prediction approaches are not applicable well for predicting unknown QoS value. This paper introduces QoS-Prophet, our highly accurate prediction module for the prediction of unknown QoS value. QoS-Prophet is based on a novel CF idea which is quite different from existing CF-based approaches and is perfectly applicable to QoS value prediction. QoS-Prophet is designed as a decision support middleware and can be conveniently deployed in most SOA systems.