# FAST — USENIX Conference on File and Storage Technologies

- **Submission deadline**: 2026-09-15
- **Notification date**: 2026-12-08
- **Conference date**: 2027-02-23
- **Location**: Renton, Washington, USA
- **Rankings**: CCF A · CORE A · QUALIS A1
- **Conference Partner Index**: 77.7/100 (ranked #220, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 139
- **Attendees**: 17
- **Canonical page**: https://www.myhuiban.com/conference/323

## Call for papers

Overview The 25th USENIX Conference on File and Storage Technologies (FAST '27) brings together researchers and practitioners to explore new directions in the design, implementation, evaluation, and deployment of systems related to storage. The program committee interprets storage-related systems broadly: submissions on low-level storage devices, distributed storage systems, information and data management, as well as other systems interconnected with storage are all of interest. The conference will consist of technical presentations including refereed papers and poster sessions. Topics The topics of interest to FAST are various aspects of systems related to storage, including both core storage topics and the application of storage to different application domains. These include and overlap with, but are not limited to, the following topics. Core storage topics, such as: File system design Data caching, replication, and consistency Erasure coding Correctness, testing, and formal verification Data deduplication and compression Performance, orchestration, and QoS Power-aware storage architectures Reliability, availability, and disaster tolerance Search and data retrieval Security and privacy Data governance, auditing, and provenance Data sovereignty, mobility, and migration Storage monitoring and troubleshooting Data layouts and file formats AI-driven storage management and self-tuning Purpose-built storage systems, such as: Archival storage systems Database, Key-value, and NoSQL storage Big data, analytics, and data lake storage Storage for AI and scientific workloads Storage for mobile, embedded, edge, and IoT systems Scalable storage systems, such as: HPC data management systems, parallel I/O Distributed and networked storage (wide-area, grid, peer-to-peer) Data management in cloud environments Software-defined storage and hyperconverged infrastructure Emerging storage technologies, such as: Memory hierarchy designs and memory-only storage systems Novel and emerging storage technologies (e.g., DNA and glass storage) Deployment experience in areas such as: Workload characterization Empirical evaluation and experience with deployed storage systems

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Source: Conference Partner — https://www.myhuiban.com/conference/323 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)