A file system for continuous media
ACM Transactions on Computer Systems (TOCS)
Informed prefetching and caching
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
The HP AutoRAID hierarchical storage system
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
Serverless network file systems
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
On the modeling and performance characteristics of a serpentine tape drive
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Random I/O scheduling in online tertiary storage systems
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
ACM Transactions on Computer Systems (TOCS)
Petal: distributed virtual disks
Proceedings of the seventh international conference on Architectural support for programming languages and operating systems
Adapting to network and client variability via on-demand dynamic distillation
Proceedings of the seventh international conference on Architectural support for programming languages and operating systems
Distributed schedule management in the Tiger video fileserver
Proceedings of the sixteenth ACM symposium on Operating systems principles
Exploiting the non-determinism and asynchrony of set iterators to reduce aggregate file I/O latency
Proceedings of the sixteenth ACM symposium on Operating systems principles
Agile application-aware adaptation for mobility
Proceedings of the sixteenth ACM symposium on Operating systems principles
The parallel I/O architecture of the high-performance storage system (HPSS)
MSS '95 Proceedings of the 14th IEEE Symposium on Mass Storage Systems
Scalability in the XFS file system
ATEC '96 Proceedings of the 1996 annual conference on USENIX Annual Technical Conference
lmbench: portable tools for performance analysis
ATEC '96 Proceedings of the 1996 annual conference on USENIX Annual Technical Conference
Observing the effects of multi-zone disks
ATEC '97 Proceedings of the annual conference on USENIX Annual Technical Conference
Dependency-Based Chinese-English Statistical Machine Translation
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Information and control in gray-box systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Access Time Estimation for Tertiary Storage Systems
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Exploiting Gray-Box Knowledge of Buffer-Cache Management
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
Transforming policies into mechanisms with infokernel
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Enabling autonomic behavior in systems software with hot swapping
IBM Systems Journal
A nine year study of file system and storage benchmarking
ACM Transactions on Storage (TOS)
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Storage Latency Estimation Descriptors, or SLEDs, are an API that allow applications to understand and take advantage of the dynamic state of a storage system. By accessing data in the file system cache or high-speed storage first, total I/O workloads can be reduced and performance improved. SLEDs report estimated data latency, allowing users, system utilities, and scripts to make file access decisions based on those retrieval time estimates. SLEDs thus can be used to improve individual application performance, reduce system workloads, and improve the user experience with more predictable behavior. We have modified the Linux 2.2 kernel to support SLEDs, and several Unix utilities and astronomical applications have been modified to use them. As a result, execution times of the Unix utilities when data file sizes exceed the size of the file system buffer cache have been reduced from 50% up to more than an order of magnitude. The astronomical applications incurred 30-50% fewer page faults and reductions in execution time of 10-35%. Performance of applications which use SLEDs also degrade more gracefully as data file size grows.