Exploration and Research on Prediction Methods of Web Service QoS

DOI

10.2991/cimns-18.2018.10How to use a DOI?

Keywords

Web Service Quality; exponential smoothing; user rating; prediction

Abstract

The web service QoS (quality of service) plays an important role in the evaluation and selection of web services. [1,2,3,4] In previous research on QoS prediction, there is a lack of a model that can dynamically predict the state of web services, and there is no revision of the prediction results. In this paper, an exponential smoothing based model for state prediction of web services is established, and a prediction correction method based on user evaluation is proposed. Combining the prediction results and correction methods, the accurate prediction of web service QoS is finally realized. Experimental results show that this scheme can effectively improve the prediction accuracy of web service QoS.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chengcheng Lou
AU  - Yi Sun
PY  - 2018/11
DA  - 2018/11
TI  - Exploration and Research on Prediction Methods of Web Service QoS
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 47
EP  - 50
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.10
DO  - 10.2991/cimns-18.2018.10
ID  - Lou2018/11
ER  -