Overview

The HotStorage workshop provides a forum for cutting-edge storage research, a place where academic researchers and industry practitioners can discuss new opportunities and challenges in storage technology. Submissions should propose new research directions, explore non-traditional approaches, or report on noteworthy or counterintuitive learnings and experiences in emerging areas. Submissions will be judged on their originality, technical merit, topical relevance, and the likelihood of leading to insightful discussions that will influence future storage systems design and applications.

In keeping with the goals of the HotStorage workshop, the review process will favor submissions that are forward-looking and open-ended. If you are only a couple of months away from submitting to FAST, NSDI, EuroSys, VLDB, OSDI, SOSP, ASPLOS, SoCC, etc. you are probably already past the sweet spot for HotStorage. If you have a forward-looking or unorthodox idea or new research, and some evidence or early working system to support your view, but still have open questions, please consider bringing your work to HotStorage. The program committee will also welcome position papers that solicit discussion on controversial topics, introduce emerging methods and paradigms, or call out for new research directions.

Topics of Interest

HotStorage'24 welcomes innovative submissions in the broad areas of storage, data management, data applications, and cross-disciplinary topics that relate to these. Some specific areas are listed below but the list is not exhaustive:

    Application- and workload-specific storage
    Archival and backup storage
    Caching, tiering, and replication
    Cloud storage
    Disaggregated and distributed storage
    Energy-efficient storage
    File systems
    Flash/SSD
    Key-value and NoSQL stores
    Memory-centric storage systems
    Mobile and edge device (sensors, home, and IoT, etc.) storage
    New storage hardware (CLX, DPUs, persistent memory)
    Next generation storage (DNA, glass)
    Performance modeling and prediction for storage
    Programming models and compilers for storage
    Quality of service for storage
    Security and privacy of storage
    Storage reliability, erasure coding
    Storage systems for ML and applying ML to storage systems