The Seventh Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems (CHEOPS'27)
Held in conjunction with EuroSys 2027 on April 19th 2027, Rabat, Morocco
Program
TBD
Keynote Speaker
TBD
Workshop Description
The workshop on “Challenges and Opportunities of Efficient and Performant Storage Systems” (CHEOPS) brings together researchers, scientific application developers, engineers, and everyone interested in the evolution of storage systems. As computing power, storage, and network technologies continue to improve at different rates, the performance gap between them widens. This trend, combined with ever-growing data volumes and data-driven computing such as machine learning and large language models, creates significant I/O and storage bottlenecks that impact the scalability and efficiency of current and future computing systems. Some of these challenges are quantitative, such as scaling to meet exascale computing requirements, while reducing latency in the software stack to leverage new memory hierarchies enabled by CXL and new storage-class memory (SCM) technologies. At the same time, growing system complexity introduces broader challenges, including the design of more sophisticated data management and monitoring tools, as well as interoperability across I/O components, storage systems, and data formats.
The main objective of this workshop is to discuss state-of-the-art research, innovative ideas, and experiences focused on the design and implementation of storage systems in both academic and industrial settings.
Important Dates
- Abstract Submission: 29th of January 2027
- Paper Submission: 5th of February 2027
- Notification to Authors: 5th of March 2027
- Camera-Ready Deadline: 19th of March 2027
- Workshop Date: 19th of April 2027
Submission Guidelines
In order to guarantee the quality of the submissions, we have formed a globally distributed, diverse program committee. All submissions will be reviewed by the program committee. We will use HotCRP to manage the submissions. The reviewing process will be double blind with at least 3 reviews for each submission. An online discussion will determine which papers to accept.
Only original and novel work not currently under review in other venues will be considered for publication. Submissions can either be full papers (6 pages) or short papers (4 pages). The page count includes the title, text, figures, appendices but excludes the references. They must be submitted electronically as PDF files formatted according to the submission rules of EuroSys. Accepted submissions will have to comply with the EuroSys proceedings format. One author of each accepted paper is required to register for the workshop and present the paper. Extended versions of selected papers will be considered for publication in the ACM SIGOPS Operating Systems Review journal.
Camera-Ready Format
You should use the acmart document class (https://www.acm.org/publications/proceedings-template, the same as for submission), as follows: \documentclass[sigplan,10pt]{acmart}
As mentioned above, you will receive the instruction regarding some LaTeX directives (\setcopyright, \acmConference, \acmDOI etc.) after completing the copyright form.
All accepted papers can use up to 2 additional pages for the camera-ready version, for a final limit of 8 (full papers) or 6 (short papers) pages, references not included.
Note that Type 1 fonts (scalable) should be used, not Type 3 (bitmapped), and that all fonts must be embedded.
Type and embedding of fonts can be checked with various tools including pdffonts.
Page numbers should be suppressed.
Make also sure that the PDF is searchable by testing the search function in a PDF reader.
Information regarding the Rights forms and Uploading Final versions is coming soon.
Topics of Interest
Submissions may be more hands-on than research papers, and we therefore explicitly encourage submissions in the early stages of research. Topics of interest include, but are not limited to:
- Operating system optimizations
- Kernel and user space file/storage systems
- Virtual file systems
- Cloud, parallel, and distributed file/storage systems
- Network challenges, such as scalability, QoS, and partitionability
- Approaches for low-latency and heterogeneous storage systems
- Computational storage devices and compute-in-memory technologies such as SCM and NVRAM combined with HDDs
- Metadata management
- Machine Learning and Artificial Intelligence
- Storage requirements of ML and AI applications (including LLMs, vector embeddings, KV cache data, model training checkpoints)
- Using ML and AI within storage systems (e.g., to replace heuristics, to optimize storage and I/O systems)
- Content-aware storage systems
- Hybrid solutions using file systems and databases
- Approaches using query and database interfaces, including key-value stores
- Optimized indexing techniques
- Data organizations and movement to support online workflows
- Data privacy and data security
- Domain-specific data management solutions
- Application I/O profiling and characterization
- Tools for storage system performance profiling, modeling, and analysis
- Data reduction techniques
- Lossless and lossy compression, deduplication, dimensionality reduction, surrogate modeling
- UI/UX for storage systems
- Sustainable and energy-efficient storage systems
- Related experiences from users: what worked, what didn’t?
- Feedback and empirical evaluation of storage systems
WORK IN PROGRESS (WIP) SESSION
TBD
Organization
Steering Committee
- Jean-Thomas Acquaviva - VAST Data, France
- Jalil Boukhobza - Sorbonne Université, LIP6, France
- Suren Byna - The Ohio State University, USA
- Konstantinos Chasapis - DDN, France
- Kira Duwe - Conseil européen pour la recherche nucléaire (CERN), Switzerland
- Shadi Ibrahim - Inria, France
- Michael Kuhn - Otto von Guericke University Magdeburg (OVGU), Germany
- Amelie Chi Zhou - Hong Kong Baptist University, Hong Kong
General Chair
- Jalil Boukhobza - Sorbonne Université, LIP6, France
Program Chairs
- Radu Stoica - IBM Research Europe - Zurich, Switzerland
- Ricardo Macedo - INESC TEC & University of Minho, Portugal
Program Committee
- Jean-Thomas Acquaviva, VAST Data
- Suren Byna, The Ohio State University
- Konstantinos Chasapis, DDN
- Shadi Ibrahim, Inria
- Michael Kuhn, Otto von Guericke University Magdeburg
- Amelie Chi Zhou, Hong Kong Baptist University