The Research Program Committee requests the submission of research papers on the implementation, design, and analysis of file and storage systems.

The 38th IEEE Symposium on Massive Storage Systems and Technologies (MSST 2024) will be held at Santa Clara University, in the heart of Silicon Valley, from June 3 to 7, 2024, and offer a full week dedicated to storage technology. This year's conference will include a two-day research track of peer-reviewed papers on the design, implementation, and analysis of storage systems on June 6 and 7. This conference will be a top‐quality venue for presenting the latest research and development in storage systems and for meeting with colleagues from industry, academia, and government.

We encourage the submission of research papers on the implementation, design, and analysis of file and storage systems. Specific areas of interest for MSST 2024 include, but are not limited to:

    Exascale storage architecture and design
    Scalable metadata management
    Extremely scalable and distributed storage systems
    New memory technologies and interconnects
    Disaggregated memory and storage
    Heterogeneous memory/storage systems and deep memory/storage hierarchy
    Edge storage systems
    Storage for emerging applications
    Storage performance and quality of service
    Storage security and privacy
    Data protection and recovery
    Auditing and provenance
    Data compression and deduplication
    Data archiving
    Storage solutions usability
    Experiences with real-world systems and data storage challenges

As is traditional, MSST will solicit short (4-6 pages) and full (8-14 pages) papers. MSST values conciseness and encourages authors not to exploit the page limit to its fullest. A typical full research paper is 10 pages long. References are not included in page counts. All papers should be submitted via https://msst24.hotcrp.com. Paper formats should adhere to the IEEE conference templates available at: https://www.ieee.org/conferences/publishing/templates.html.

The review process will be double-blind; authors must anonymize their submission. Upon submitting a paper, authors must also indicate conflicts with PC members:

    Aishwarya Ganesan, University of Illinois at Urbana-Champaign & VMware
    Ali Butt, Virginia Tech
    André Brinkmann, Johannes Gutenberg University
    Aviad Zuck, Technion—Israel Institute of Technology
    Bhimsen Bhanjois, Dell Technologies
    David Du, University of Minnesota
    Erez Zadok, Stony Brook University
    Ethan Miller, Pure storage
    Gerald Lofstead, Sandia National Laboratories
    Jason Xue, City University of Hong Kong
    Jiwu Shu, Tsinghua University
    John Bent, Los Alamos National Laboratory
    Jooyoung Hwang, Samsung
    Peter Desnoyers, Northeastern University
    Peter Varman, Rice University
    Raju Rangaswami, Florida International University
    Robert Ross, Argonne National Laboratory
    Smriti Thakkar, Dell Technologies
    Vasily Tarasov, IBM
    Xiaodong Zhang, Ohio State University
    Youjip Won, Korea Advanced Institute of Science and Technology
    Yu Hua, Huazhong University of Science & Technology