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About us

MSST 2026 will be held at Santa Clara University, in the heart of Silicon Valley, and offer a full week dedicated to storage technology through both an industrial and a research track. The MSST research track provides a forum for top-quality original storage research, a place where academic researchers and industry practitioners can share findings and challenges in storage technology.

Important Dates

Tue, Apr 14, 2026
Submission deadline

Paper Submission

Research Paper Submission Tracks

Storage
Computer systems
Ai in systems
Application- and workload-specific storage
Archival and backup storage
Auditing and provenance
Deduplication and compression
Caching, tiering, and replication
Data protection and recovery
Disaggregated and distributed storage
Storage on the edge
Energy-efficient storage
Exascale storage architecture and design
Experiences with real-world systems and data storage challenges
File systems
Flash/SSD
Heterogeneous memory/storage systems
Memory-centric storage systems
New storage hardware, DPUs, persistent memory
Next-generation storage (DNA, glass)
Performance modeling and prediction for storage
Usability and quality of service for storage
Security and privacy of storage
Storage for emerging applications
Storage reliability, erasure coding
Storage virtualization
Storage systems for ML and applying ML to storage systems

Call for Papers Description

All papers must be original and not simultaneously submitted to another journal or conference. Full papers (up to 14 pages) and Short papers (4-6 pages) are invited. The review process is double-blind. We recommend following the standard IEEE conference proceedings format.

Committee

Research PC Co-Chairs

Avani Wildani

Cloudflare

James Hughes

Apple

Research Program Committee

Keira Adams

Ahmed Amer

Pranav Bhandari

Daniel Bittman

Si Chen

Yu Hua

Maria Joseph Israel

Shiva Jahangiri

Jay Lofstead

Dev Purandare

Thomas Schwarz

Galen Shipman

Dimitris Skourtis

Swaminathan Sundararaman

Vasily Tarasov

Jonathan Tischio

Theodore Wong

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