Data Centers

Effective Keyword Search for Software Resources Installed in Large-Scale Grid Infrastructures

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Executive Summary

In this paper, the authors investigate the problem of supporting keyword-based searching for the discovery of software resources that are installed on the nodes of large-scale, federated Grid computing infrastructures. They address a number of challenges that arise from the unstructured nature of software and the unavailability of software-related metadata on Grid sites. They present-Minersoft, a Grid harvester that visits Grid sites, crawls their file-systems, identifies and classifies software resources, and discovers implicit associations between them. The results of Minersoft harvesting are encoded in a weighted, typed graph, named the Software Graph.

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