Research on Robust Model for Web Service Selection

DOI

10.2991/icsnce-18.2018.42How to use a DOI?

Keywords

Web Service; Quality of Service; Model Robust

Abstract

Most existing service quality models use defined Quality of Service parameters for service selection. Since a large number of uncertainties exist, the QoS performance indicators in the runtime of the composite services obtained through the model and method based on the determined QoS will be worse even beyond the range acceptable to the users. Web services can solve this problem and become the most reasonable solution in the current application environment. In the process of actual service delivery, the key to the failure of the service composition to meet the requirements is caused by uncertain factors. In order to solve the above problems, this paper first proposes a local optimal selection model based on uncertain QoS. The Web service selection method based on uncertain QoS has been progressing in recent years. Second, in order to reduce the time spent on selection, a redundant service selection result is given. The experimental results on the data set show that the proposed model and method can effectively select more robust services for users.

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  - Wei Yanxi
AU  - Yu Fan
AU  - Ma Xing
AU  - Yu Haige
AU  - Yang Wenhui
PY  - 2018/04
DA  - 2018/04
TI  - Research on Robust Model for Web Service Selection
BT  - Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
PB  - Atlantis Press
SP  - 213
EP  - 215
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsnce-18.2018.42
DO  - 10.2991/icsnce-18.2018.42
ID  - Yanxi2018/04
ER  -