| Summary: | 碩士 === 國立交通大學 === 資訊科學系所 === 92 === Grid Computing promises to provide uniform, non-expensive access to computing power through aggregation and utilization of potentially unlimited number of storage and computing devices. For Grid infrastructure developers, this goal amounts to creating effective mechanisms that can allocate and coordinate distributed, heterogeneous resources in a robust and secure manner. For Grid application developers, on the other hand, the main challenge is to make best use of the facilities provided by the infrastructure. Typically, a developer needs to divide a problem into smaller pieces, and plan for appropriate data manipulation and transfer among them. Such divide-and-conquer effort is essential when required memory space is beyond the capabilities of individual machines, but complicated when the infrastructure provides only low-level facilities. This thesis describes database-specific techniques that can relieve developers from complicated memory management. Simply speaking, we use individual relational databases as computational nodes for their storage and computation capabilities, and connect them together into a distributed computing platform. In addition, we define a generic schema capable of storing complex data structures, and mechanisms that allow flexible translation between the schema and other computation-friendly tabular structures. We argue that together these constructs form an attractive platform that can greatly simplify Grid application development, thus contribute to the general Grid Computing community in a useful way.
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