Dynamic QoS Data-driven Reliable Web Service Selection

ZHANG Longchang; YANG Yanhong

doi:10.11999/JEIT150831

Volume 38 Issue 6

Jun. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(6): 1368-1376

ZHANG Longchang, YANG Yanhong. Dynamic QoS Data-driven Reliable Web Service Selection[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1368-1376. doi: 10.11999/JEIT150831

Citation:

ZHANG Longchang, YANG Yanhong. Dynamic QoS Data-driven Reliable Web Service Selection[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1368-1376. doi: 10.11999/JEIT150831

ZHANG Longchang, YANG Yanhong. Dynamic QoS Data-driven Reliable Web Service Selection[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1368-1376. doi: 10.11999/JEIT150831

Citation:

ZHANG Longchang, YANG Yanhong. Dynamic QoS Data-driven Reliable Web Service Selection[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1368-1376. doi: 10.11999/JEIT150831

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Dynamic QoS Data-driven Reliable Web Service Selection

doi: 10.11999/JEIT150831

ZHANG Longchang¹,
YANG Yanhong²

1.
(College of Information Science and Technology, Bohai University, Jinzhou 121013, China)
2.
(Library, Bohai University, Jinzhou 121013, China)

Funds:

The National Natural Science Foundation of China (41371425), Humanity and Social Science Youth Foundation of Ministry of Education of China (15YJC870028), Natural Science Foundation of Liaoning Province (2015020009), General Project of Science and Technology Research of Education Department of Liaoning Province of China (L2014451), Social Science Planning Fund of Liaoning Province of China (L15BTQ002)

Received Date: 2015-07-09
Rev Recd Date: 2016-01-11
Publish Date: 2016-06-19

Abstract

Abstract

The optimal Web service selection based on QoS is still a hot issue. Highly dynamic QoS data leading to uncertainty QoS model is a huge challenge for reliable Web service selection. This paper presents Dynamic QoS Data-driven Reliable Web Service Selection (DQoS_RSS). First, DQoS_RSS uses mean and standard deviation to portray the benefit and risk of QoS and to improve the accuracy of QoS description. Then, the uncertain service Skyline set is built to reduce the search scope, to improve the efficiency of Web service selection. Drown on the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) theory, 2 kinds of service selection algorithm are designed to obtain the optimal Web service reflecting users QoS needs. In addition, 2 kinds of QoS model converter are introduced to convert QoS data to QoS model; and the QoS model adaptive adjustment mechanism is introduced too, which can adapt to the dynamic changes of QoS. Finally, some experiments demonstrate the superiority and efficiency of the presented approach.
- Web service,
- Service selection,
- QoS data,
- Skyline,
- Mean and standard deviat

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References(24)

References

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