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Abstract: I/O intensive applications have posed great challenges to computational scientists. A major problem of these applications is that users have to sacrifice performance requirements in order to satisfy storage capacity requirements in a conventional computing environment. Further performance improvement is impeded by the physical nature of these storage media even when state-of-the-art I/O optimizations are employed. (Update)
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BibTeX entry: (Update)
@inproceedings{ shen00distributed,
author = "Xiaohui Shen and Alok N. Choudhary",
title = "A Distributed Multi-Storage Resource Architecture and I/O Performance Prediction for Scientific Computing",
booktitle = "{HPDC}",
pages = "21-",
year = "2000",
url = "citeseer.ist.psu.edu/article/shen03distributed.html" }
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Documents on the same site (http://www.ece.northwestern.edu/~wkliao/MDMS/index.html): More
DPFS: A Distributed Parallel File System - Shen, Choudhary (2001) (Correct)
Remote I/O Optimization and Evaluation for Tertiary.. - Shen, Liao, Choudhary (Correct)
Data Management for Large-Scale Scientific.. - Choudhary.. (1999) (Correct)
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