STEP: Self-Tuning Energy-safe Predictors
Proceedings of the 6th international conference on Mobile data management
Data Staging on Untrusted Surrogates
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
A stochastic approach to file access prediction
SNAPI '03 Proceedings of the international workshop on Storage network architecture and parallel I/Os
A performance-oriented energy efficient file system
SNAPI '04 Proceedings of the international workshop on Storage network architecture and parallel I/Os
ACM Transactions on Storage (TOS)
File grouping for scientific data management: lessons from experimenting with real traces
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
A Rule-Based Prefetching Approach for Object-Based Storage Device
International Journal of Distributed Sensor Networks
File Clustering Based Replication Algorithm in a Grid Environment
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Enhancing prediction accuracy in PCM-based file prefetch by constained pattern replacement algorithm
ICCS'03 Proceedings of the 2003 international conference on Computational science
Mining infrequently-accessed file correlations in distributed file system
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
File access prediction using neural networks
IEEE Transactions on Neural Networks
Data staging on untrusted surrogates
FAST'03 Proceedings of the 2nd USENIX conference on File and storage technologies
Sustainable predictive storage management: on-line grouping for energy and latency reduction
Proceedings of the 4th Annual International Conference on Systems and Storage
A correlation-aware prefetching strategy for object-based file system
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
Block locality caching for data deduplication
Proceedings of the 6th International Systems and Storage Conference
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We describe how to manage distributed file system caches based upon groups of files that are accessed together. We use file access patterns to automatically construct dynamic groupings of files and then manage our cache by fetching groups, rather than single files. We present experimental results, based on trace-driven workloads, demonstrating that grouping improves cache performance. At the file system client, grouping can reduce LRU demand fetches by 50 to 60%. At the server, cache hit rate improvements are much more pronounced, but vary widely (20 to over 1200%) depending upon the capacity of intervening caches. Our treatment includes information theoretic results that justify our approach to file grouping.