使用濾選及評選模式改良網路服務發現程序

Using the Filter Large Qualify Rest（FLQR）Model to Improve Web Service Discovery Process

黃崇德(Chung-De Huang)

指導教授 ： 戚玉樑

中原大學/商學院/資訊管理研究所/碩士(2004年)

https://doi.org/10.6840/cycu200400524

摘要

網路服務架構是一種新興的異質平台整合方式，當所有網路服務都需要由外部取得時，服務需求者會有各種相同性質的服務可以選擇以滿足其服務需求；也就是說，候選服務的數目愈多，可以增加應用程式服務整合的彈性；然而，此時服務需求者將會遭遇一個問題，就是如何去選擇一個適合的服務。基於這種服務發現問題，本文提出「二階段服務評選模式（Filter Large Qualify Rest）」模式來改良服務仲介者之服務發現程序，此模式包含三種構成要素：（1）服務篩選（Qualify Rest），是用來減少不合標準的服務數目，像是不可用的、昂貴的、或是無效率的服務；（2）服務評選（Qualify Rest），以品質評估模型來給予每個服務參考指標；（3）品質回饋（Feedback），用來當作服務使用之品質回饋機制。最後，本文利用私有UDDI註冊中心作為實驗對象，並以情境設計來取得實驗之結果，以此結果來說明在網路服務架構中，以此FLQR模式是可以改善服務發現程序之問題。

關鍵字

服務篩選 ； 服務品質評估 ； 服務發現模式

並列摘要

Web Services architecture (WSA) is an emerging technology for application systems integration in heterogeneous environment. Since services are all outsourcings, requesters may have a variety of choices to satisfy their criteria. That is, amount of candidate services advantage the flexibility in implementation. However, requesters encounter the decision issue of selecting a proper service. Motivated by the discovery problems, this study proposes a Filter Large Qualify Rest (FLQR) model to improve a discovery process within the service broker. The model is consists of three components: (i)Filter Large is related to reduce improper services such as unavailable, expensive, and inefficiency. (ii)Qualify Rest is giving a quality evaluated model to index the performance of each service. (iii)Finally, a feedback component complements an item of quality evaluated model. In the end, this study utilizes a private UDDI registry center as the development platform. Empirical result suggests that the discovery process in WSA can be improved by using the FLQR model.

並列關鍵字

Service Discovery Model ； Service Filter ； Service Quality Evaluation

參考文獻

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