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My current interests are in systems topics, specifically large-scale storage systems. I'm currently
working on autonomic performance management, applying machine learning techniques to detect and
diagnose performance problems within a large-scale distributed storage system.
I've also worked on large archival systems with the
Deep Store project, and some
work on quota management and metadata storage with the
Object-Based Storage project.
Publications
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Kristal T. Pollack, Darrell D.E. Long, Richard A. Golding, Benjamin Reed, and Ralph Becker-Szendy.
Quota enforcement for high-performance distributed storage systems. In submission.
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Deepavali Bhagwat, Kristal Pollack, Darrell D.E. Long, Thomas Schwarz, Ethan Miller, and
Jehan-Francois Paris.
Providing High Reliability in a Minimum Redundancy Archival Storage
System. In Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and
Simulation of Computer and Telecommunication Systems (MASCOTS '06). September 2006.
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Kristal T. Pollack and Sandeep M. Uttamchandani. Genesis: A Scalable Self-Evolving
Performance Management Framework for Storage Systems. In Proceedings of the 26th IEEE
International Conference on Distributed Computing Systems (ICDCS). July 2006.
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Kristal T. Pollack and Scott A. Brandt.
Efficient Access Control for Distributed Hierarchical File Systems.
In Proceedings of the 22nd IEEE / 13th NASA Goddard Conference on Mass
Storage Systems and Technologies (MSST). April 2005.
- Lawrence L. You, Kristal
T. Pollack, and Darrell
D. E. Long, Deep
Store: an Archival Storage System Architecture. In Proceedings
of The 21st International Conference on Data Engineering (ICDE). April
2005.
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Sage A. Weil, Kristal T. Pollack, Scott A. Brandt, and Ethan L. Miller.
Dynamic metadata management for petabyte-scale file systems.
In Proceedings of the 2004 ACM / IEEE Conference on Supercomputing (SC
'04), Pittsburgh, PA, November 2004.
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