Sage Weil - Academia.edu (original) (raw)

Sage Weil

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Papers by Sage Weil

Research paper thumbnail of Enhancement of cooperation between file systems and applications — on VFS extensions for optimized performance

Science China Information Sciences, 2015

Research paper thumbnail of Dynamic Metadata Management for Petabyte-Scale File Systems

Proceedings of the ACM/IEEE SC2004 Conference, 2004

Research paper thumbnail of CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data

ACM/IEEE SC 2006 Conference (SC'06), 2006

Research paper thumbnail of Performance and scalability evaluation of the Ceph parallel file system

Proceedings of the 8th Parallel Data Storage Workshop on - PDSW '13, 2013

Research paper thumbnail of Adapting RAID Methods for Use in Object Storage Systems

Research paper thumbnail of Ceph: A Scalable Object-Based Storage System

Research paper thumbnail of Ceph: A Scalable, High-Performance Distributed File System

We have developed Ceph, a distributed file system that provides excellent performance, reliabilit... more We have developed Ceph, a distributed file system that provides excellent performance, reliability, and scalability. Ceph maximizes the separation between data and metadata management by replacing allocation tables with a pseudo-random data distribution function (CRUSH) designed for heterogeneous and dynamic clusters of unreliable object storage devices (OSDs). We leverage device intelligence by distributing data replication, failure detection and recovery to semi-autonomous OSDs running a specialized local object file system. A dynamic distributed metadata cluster provides extremely efficient metadata management and seamlessly adapts to a wide range of general purpose and scientific computing file system workloads. Performance measurements under a variety of workloads show that Ceph has excellent I/O performance and scalable metadata management, supporting more than 250,000 metadata operations per second.

Research paper thumbnail of Intelligent Metadata Management for a Petabyte-scale File System

Research paper thumbnail of Enhancement of cooperation between file systems and applications — on VFS extensions for optimized performance

Science China Information Sciences, 2015

Research paper thumbnail of Dynamic Metadata Management for Petabyte-Scale File Systems

Proceedings of the ACM/IEEE SC2004 Conference, 2004

Research paper thumbnail of CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data

ACM/IEEE SC 2006 Conference (SC'06), 2006

Research paper thumbnail of Performance and scalability evaluation of the Ceph parallel file system

Proceedings of the 8th Parallel Data Storage Workshop on - PDSW '13, 2013

Research paper thumbnail of Adapting RAID Methods for Use in Object Storage Systems

Research paper thumbnail of Ceph: A Scalable Object-Based Storage System

Research paper thumbnail of Ceph: A Scalable, High-Performance Distributed File System

We have developed Ceph, a distributed file system that provides excellent performance, reliabilit... more We have developed Ceph, a distributed file system that provides excellent performance, reliability, and scalability. Ceph maximizes the separation between data and metadata management by replacing allocation tables with a pseudo-random data distribution function (CRUSH) designed for heterogeneous and dynamic clusters of unreliable object storage devices (OSDs). We leverage device intelligence by distributing data replication, failure detection and recovery to semi-autonomous OSDs running a specialized local object file system. A dynamic distributed metadata cluster provides extremely efficient metadata management and seamlessly adapts to a wide range of general purpose and scientific computing file system workloads. Performance measurements under a variety of workloads show that Ceph has excellent I/O performance and scalable metadata management, supporting more than 250,000 metadata operations per second.

Research paper thumbnail of Intelligent Metadata Management for a Petabyte-scale File System

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