Development of a Web-Services-based Information Integration Framework for e-Diagnostics
Autor: | Sze-Chien Yeh, 葉斯健 |
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Rok vydání: | 2002 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 90 Due to the ubiquity of Internet and the prosperity of information technologies, remote diagnostics through Internet has been an important application in industry. This thesis is aimed to study the e-Diagnostics problem, which is currently a hot and important topic in semiconductor manufacturing. In recent years, the rising Web-services technology has provided a new and excellent solution to the data integration among heterogeneous systems. In this thesis, we use the distributed object-oriented approach to develop a Web-Services-based diagnostics framework (WSDF) that is intended to satisfy the requirement of e-Diagnostics capability definitions of SEMATECH, and thus can effectively support a variety of e-diagnostics functions for semiconductor manufacturing. First, we thoroughly investigate and analyze the e-diagnostics system to specify the necessary functionalities of information integration for e-diagnostics and to design the system framework. Then, we design a generic component, called Web-service Agent, which possesses several common functions, such as SOAP communication, UDDI registration, data security mechanism, data exchange mechanism, and local database access. Other system components can have these functions by just inheriting the Web-service Agent. Therefore, the overall system-development efficiency is increased. In addition, a generic equipment model, a unified authentication service, and a safe network connection are also designed in the framework. WSDF can not only support manual remote diagnoses of equipment but also automatically provide diagnostics information to different clients through service components. Finally, we construct an application paradigm of e-diagnostics and develop the associated procedures of system integration and testing to evaluate the effectiveness of the proposed WSDF. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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