Dynamic Integrated Scheduling of Hard Real-Time, Soft Real-Time and Non-Real-Time Processes
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Ceph: a scalable, high-performance distributed file system
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Abstract storage: moving file format-specific abstractions intopetabyte-scale storage systems
Proceedings of the second international workshop on Data-aware distributed computing
Adaptive multi-level cache allocation in distributed storage architectures
Proceedings of the 24th ACM International Conference on Supercomputing
Computation mapping for multi-level storage cache hierarchies
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Compiler-directed file layout optimization for hierarchical storage systems
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Compiler-directed file layout optimization for hierarchical storage systems
Scientific Programming - Selected Papers from Super Computing 2012
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Many applications---for example, scientific simulation, real-time data acquisition, and distributed reservation systems---have I/O performance requirements, yet most large, distributed storage systems lack the ability to guarantee I/O performance. We are working on end-to-end performance management in scalable, distributed storage systems. The kinds of storage systems we are targeting include large high-performance computing (HPC) clusters, which require both large data volumes and high I/O rates, as well as large-scale general-purpose storage systems.