(Enter summary)
Abstract: Efficient metadata management is a critical aspect of
overall system performance in large distributed storage
systems. Directory subtree partitioning and pure hashing
are two common techniques used for managing metadata in
such systems, but both suffer from bottlenecks at very high
concurrent access rates. We present a new approach called
Lazy Hybrid (LH) metadata management that combines the
best aspects of these two approaches while avoiding their
shortcomings. (Update)
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BibTeX entry: (Update)
Brandt, S., Xue, L., Miller, E., Long D., Efficient Metadata Management in Large Distributed File Systems, Twentieth IEEE/Eleventh NASA Goddard Conference on Mass Storage Systems and Technologies, April 2003. http://citeseer.ist.psu.edu/brandt03efficient.html More
@misc{ brandt03efficient,
author = "S. Brandt and L. Xue and E. Miller and D. Long",
title = "Efficient Metadata Management in Large Distributed File Systems",
text = "Brandt, S., Xue, L., Miller, E., Long D., Efficient Metadata Management
in Large Distributed File Systems, Twentieth IEEE/Eleventh NASA Goddard
Conference on Mass Storage Systems and Technologies, April 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/brandt03efficient.html" }
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