Adapting SAM for CDF
D. Bonham, G. Garzoglio, R. Herber, J. Kowalkowski, D. Litvintsev, L., Lueking, M. Paterno, D. Petravick, L. Piccoli, R. Pordes, N. Stanfield, I., Terekhov, J. Trumbo, J. Tseng, S. Veseli, M. Votava, V. White, T. Huffman, S., Stonjek, K. Waltkins, P. Crosby, D. Waters

TL;DR
This paper discusses adapting the SAM data handling system for the CDF experiment, focusing on extending database design and integration processes to manage large-scale high-energy physics data efficiently.
Contribution
It presents the adaptation process of SAM for CDF, highlighting design patterns and lessons learned in merging data systems for large-scale experiments.
Findings
Successful extension of SAM for CDF data management
Insights into database design patterns for high-energy physics
Lessons learned in system integration and data handling
Abstract
The CDF and D0 experiments probe the high-energy frontier and as they do so have accumulated hundreds of Terabytes of data on the way to petabytes of data over the next two years. The experiments have made a commitment to use the developing Grid based on the SAM system to handle these data. The D0 SAM has been extended for use in CDF as common patterns of design emerged to meet the similar requirements of these experiments. The process by which the merger was achieved is explained with particular emphasis on lessons learned concerning the database design patterns plus realization of the use cases.
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Advanced Data Storage Technologies · Advanced Computational Techniques and Applications
