動態(tài)QoS數(shù)據(jù)驅(qū)動的可靠Web服務(wù)選擇

張龍昌; 楊艷紅

doi:10.11999/JEIT150831

動態(tài)QoS數(shù)據(jù)驅(qū)動的可靠Web服務(wù)選擇

doi: 10.11999/JEIT150831

張龍昌¹,
楊艷紅²

1.
(渤海大學(xué)信息科學(xué)與技術(shù)學(xué)院錦州 121013) ②(渤海大學(xué)圖書館錦州 121013)

基金項目:

國家自然科學(xué)基金(41371425)，教育部人文社會科學(xué)研究青年基金(15YJC870028)，遼寧省自然科學(xué)基金(2015020009)，遼寧省教育廳科學(xué)技術(shù)研究(L2014451)，遼寧省社會科學(xué)規(guī)劃基金(L15BTQ002)

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- 文章訪問數(shù): 1474
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-07-09
- 修回日期: 2016-01-11
- 刊出日期: 2016-06-19

Dynamic QoS Data-driven Reliable Web Service Selection

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)

摘要

摘要: 基于服務(wù)質(zhì)量(QoS)的Web服務(wù)最優(yōu)選擇是一個熱點問題。高度動態(tài)的QoS數(shù)據(jù)導(dǎo)致QoS模型的不確定性，對可靠的Web服務(wù)選擇構(gòu)成巨大的挑戰(zhàn)，該文提出動態(tài)QoS數(shù)據(jù)驅(qū)動的可靠Web服務(wù)選擇(DQoS_RSS)。首先利用均值標準差刻畫QoS數(shù)據(jù)的效益和風(fēng)險，提高QoS描述的準確度；接著建立不確定服務(wù)Skyline集，縮小搜索空間，提高選擇效率；借鑒優(yōu)劣解距離法(TOPSIS)，設(shè)計2種Web服務(wù)選擇算法，獲得體現(xiàn)用戶需求的最優(yōu)服務(wù)。另外，介紹2種QoS模型轉(zhuǎn)換器，以及能夠適應(yīng)QoS動態(tài)變化的QoS模型自適應(yīng)調(diào)整機制。最后，實驗分析驗證了該方法的優(yōu)越性和高效性。
- Web服務(wù) /
- 服務(wù)選擇 /
- QoS數(shù)據(jù) /
- Skyline /
- 均值標準差
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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