Seung-Hye Jang

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Large-scale applications often require computational grids to obtain the needed compute power for execution. Generally, users are given access to a collection of resources that can be used for execution. The collection of resources can be dynamic, and the users must decide which collection of heterogeneous and distributed resources to use. However, many(More)
Distributed systems are available and provide vast compute and data resources to users. With the availability of multiple resources, one of the major issues to be addressed is site selection. Users have access to many resource sites from which to select for execution of applications. In this paper, we quantify the advantages of using performance prediction(More)
The primary challenge of grid computing is to enable, maintain, and control the sharing of distributed heterogeneous resources to achieve a common goal. To address this challenge, grid applications should be structured to accommodate the heterogeneous nature of the grid. This project presents a software tool that provides basic services for handling(More)
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