MSST 2026

Deadlines
Systems/CORE Unranked

MSST 2026

International Conference on Massive Storage Systems and Technology

June 1-5, 2026Santa Clara University, Santa Clara, CA, USAOfficial conference site Site reachable

MSST 2026 is the 40th International Conference on Massive Storage Systems and Technology, hosted at Santa Clara University, bringing together academic researchers and industry practitioners to share advancements in storage systems. The conference featured a three-day industry/invited track and a two-day research track focused on peer-reviewed, original research in massive-scale storage technologies for HPC, enterprise, and web-scale systems.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

April 14, 2026

AoE

Conference timeline

Submission and decisions

Full paperKey deadline

April 14, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Full papers

Up to 14 pages, not including references; must be previously unpublished and complete research.

Short papers

4–6 pages, not including references; must be complete work, not 'Work-in-progress.'

Research areas in scope

01

Research Topics

Application- and workload-specific storageArchival and backup storageAuditing and provenanceDeduplication and compressionCaching, tiering, and replicationData protection and recoveryDisaggregated and distributed storageStorage on the edgeEnergy-efficient storageExascale storage architecture and designExperiences with real-world systems and data storage challengesFile systemsFlash/SSDHeterogeneous memory/storage systemsMemory-centric storage systemsNew storage hardware, DPUs, persistent memoryNext-generation storage (DNA, glass)Performance modeling and prediction for storageUsability and quality of service for storageSecurity and privacy of storageStorage for emerging applicationsStorage reliability, erasure codingStorage virtualizationStorage systems for ML and applying ML to storage systems

Policies worth checking twice

  • Submissions are double-blind reviewed.
  • Submissions must be previously unpublished.
  • LLM use must be disclosed; LLMs are permitted for editing or translation but not for generating significant text or graphs.
  • Manuscripts should follow the standard IEEE conference proceedings format in US Letter size.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026