Using Multiple Predictors to Improve the Accuracy of File Access Predictions
MSS '03 Proceedings of the 20 th IEEE/11 th NASA Goddard Conference on Mass Storage Systems and Technologies (MSS'03)
STEP: Self-Tuning Energy-safe Predictors
Proceedings of the 6th international conference on Mobile data management
Connections: using context to enhance file search
Proceedings of the twentieth ACM symposium on Operating systems principles
Expecting the unexpected: adaptation for predictive energy conservation
Proceedings of the 2005 ACM workshop on Storage security and survivability
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
A performance analysis of a cache-based file prediction protocol for mobile file systems
Proceedings of the ACM international workshop on Performance monitoring, measurement, and evaluation of heterogeneous wireless and wired networks
Scalable security for large, high performance storage systems
Proceedings of the second ACM workshop on Storage security and survivability
Efficient reduction of access latency through object correlations in virtual environments
EURASIP Journal on Applied Signal Processing
Scalable security for petascale parallel file systems
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
FI-based file access predictor
Proceedings of the 47th Annual Southeast Regional Conference
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
Modeling files with context streams
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Efficiently identifying working sets in block I/O streams
Proceedings of the 4th Annual International Conference on Systems and Storage
Sustainable predictive storage management: on-line grouping for energy and latency reduction
Proceedings of the 4th Annual International Conference on Systems and Storage
Effective feature set construction for SVM-based hot method prediction and optimisation
International Journal of Computational Science and Engineering
Block locality caching for data deduplication
Proceedings of the 6th International Systems and Storage Conference
Hi-index | 0.00 |
We describe a novel on-line file access predictor, Recent Popularity, capable of rapid adaptation to workload changes while simultaneously predicting more events with greater accuracy than prior efforts. We distinguish the goal of predicting the most events accurately from the goal of offering the most accurate predictions (when declining to Offer a prediction is acceptable). For this purpose we present two distinct measures of accuracy, general and specific accuracy, corresponding to these goals. We describe how our new predictor and an earlier effort, Noah, can trade the number of events predicted for prediction accuracy by modifying simple parameters. When prediction accuracy is strictly more important than the number of predictions offered, trace-based evaluation demonstrates error rates as low as 2%, while offering predictions for more than 60% of all file access events.