CA-NFS: a congestion-aware network file system
FAST '09 Proccedings of the 7th conference on File and storage technologies
Abstract storage: moving file format-specific abstractions intopetabyte-scale storage systems
Proceedings of the second international workshop on Data-aware distributed computing
CA-NFS: A congestion-aware network file system
ACM Transactions on Storage (TOS)
Fusing data management services with file systems
Proceedings of the 4th Annual Workshop on Petascale Data Storage
NCQ vs. I/O scheduler: Preventing unexpected misbehaviors
ACM Transactions on Storage (TOS)
Horizon: efficient deadline-driven disk I/O management for distributed storage systems
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Survey and analysis of disk scheduling methods
ACM SIGARCH Computer Architecture News
QBox: guaranteeing I/O performance on black box storage systems
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
FAIRIO: A Throughput-oriented Algorithm for Differentiated I/O Performance
International Journal of Parallel Programming
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Large- and small-scale storage systems frequently serve a mixture of workloads, an increasing number of which require some form of performance guarantee. Providing guaranteed disk performance—the equivalent of a “virtual disk”—is challenging because disk requests are non-preemptible and their execution times are stateful, partially non-deterministic, and can vary by orders of magnitude. Guaranteeing throughput, the standard measure of disk performance, requires worst-case I/O time assumptions orders of magnitude greater than average I/O times, with correspondingly low performance and poor control of the resource allocation. We show that disk time utilization—analogous to CPU utilization in CPU scheduling and the only fully provisionable aspect of disk performance—yields greater control, more efficient use of disk resources, and better isolation between request streams than bandwidth or I/O rate when used as the basis for disk reservation and scheduling.