Ceph: a scalable, high-performance distributed file system
Explore this paper's citation graph
Summary
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.
- Type
- article
- Published
- 2006-11-06
- Cited by
- 2,010
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W1999984505
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5159428
Keywords
Computer science, Metadata, File system, Distributed File System, Scalability
References
- Managing Scalability in Object Storage Systems for HPC Linux Clusters
- A next-generation parallel file system for Linux cluster.
- The Design and Implementation of AQuA: An Adaptive Quality of Service Aware Object-Based Storage Device
- Dynamic Metadata Management for Petabyte-Scale File Systems
- The HP AutoRAID hierarchical storage system
- IBM Storage Tank - A heterogeneous scalable SAN file system
- The Vesta parallel file system
- Replication in the harp file system
- A principle for resilient sharing of distributed resources
- OceanStore: an architecture for global-scale persistent storage
- FAB: building distributed enterprise disk arrays from commodity components
- CRUSH: Controlled, Scalable, Decentralized Placement of Replicated Data
- Secure capabilities for a petabyte-scale object-based distributed file system
- Scalable security for large, high performance storage systems
- The Google file system
- A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
- D-SPTF: decentralized request distribution in brick-based storage systems
- Replication under scalable hashing: a family of algorithms for scalable decentralized data distribution
- zFS - a scalable distributed file system using object disks
- A cost-effective, high-bandwidth storage architecture
Cited by
- Design and Implementation of an OSD System and Prefetching Models
- HYDRAstor: A Scalable Secondary Storage
- Providing Flexible File-Level Data Filtering for Big Data Analytics
- Data Analysis Challenges
- Freiheitsgrade beim Einsatz Verteilter Disks
- VSFS: A Versatile Searchable File System for HPC Analytics
- Diagnosing Performance Problems in Parallel File Systems
- Active Storage and SSD Caching in an Object Storage Environment
- Virtualization services: scalable methods for virtualizing multicore systems
- Resource management in IaaS-clouds
- Étude des problèmes d'ordonnancement sur des plates-formes hétérogènes en modèle multi-port. (Study of Scheduling Problems Under the MultiPort Model on Heterogeneous Platforms)
- Towards a provenance-aware distributed filesystem
- A highly reliable gpu-based raid system
- Advanced I/O for large-scale scientific applications.
- Spyglass: Fast, Scalable Metadata Search for Large-Scale Storage Systems
- A multi-tier cached I/O architecture for massively parallel supercomputers
- GIGA+: scalable directories for shared file systems
- Efficient big data system in the cloud : resource provisioning and scheduling
- A strategy for cost efficient distributed data storage for in-memory OLAP
- Moneta: A Storage System for Fast Non-Volatile Memories
Related papers
- MapReduce: simplified data processing on large clusters
- Dynamo: amazon's highly available key-value store
- The Panasas ActiveScale Storage Cluster - Delivering Scalable High Bandwidth Storage
- A cost-effective, high-bandwidth storage architecture
- Scalable Performance of the Panasas Parallel File System
- GPFS: A Shared-Disk File System for Large Computing Clusters
- Farsite
- The Hadoop Distributed File System
- The Google file system
- PVFS: A Parallel File System for Linux Clusters