| Summary: | 碩士 === 東海大學 === 資訊工程與科學系 === 94 === In the past, we used sophisticated laboratory technology to collect data faster than we can interpret it. There are vast volumes of DNA sequence data need to be compared with others. These activities require high-speed, high-performance computing power to search through and analyze huge amounts of data, and industrial-strength databases to perform a wide range of data-intensive computing functions. It is important to provide convenient and useful tools for biologists who are not IT specialists to benefit directly from the use of high-performance technology. Grid computing and Cluster computing provide ways to meet these requirements. This thesis describes an approach to using Grid Services technologies and dynamic, multi-institutional virtual organizations, the sharing of computing and storage resource can be achieved. A bioinformatics grid computing environment (BioGrid) which consists of the distributed computing application for bioinformatics is presented in this thesis. Based on this environment, we propose the architecture of bioinformatics applications which uses Grid Services constructed with the Globus Toolkit 4. It provides users an approach of Grid Services to impose grid resources and customize their own grid applications. Finally, we developed a program which is defined as the client-server application with Grid Services. End users can access the bioinformatics applications and resource by using Grid Services via the application.
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