Z-miner: noise filter in mining frequent access patterns
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
Provenance as first class cloud data
ACM SIGOPS Operating Systems Review
Enhancing prediction accuracy in PCM-based file prefetch by constained pattern replacement algorithm
ICCS'03 Proceedings of the 2003 international conference on Computational science
Hermes: clustering users in large-scale e-mail services
Proceedings of the 1st ACM symposium on Cloud computing
C-Miner: mining block correlations in storage systems
FAST'04 Proceedings of the 3rd USENIX conference on File and storage technologies
A new framework for handling mobile clients in a client-server database system
Computer Communications
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Supporting portable computers in a disconnected environment will require persistent caching of files without user intervention. SEER is a system that uses semantic information to predict which files the user is likely to work on, and arranges to transparently cache them on the portable platform prior to disconnection. We present the overall design of the SBBn system and the algorithms used to determine semantic relationships.