MSST 2019 Research Call for Papers
MSST 2019 will be held May 20-24, 2019 at Santa Clara University, Santa Clara, CA. The Research Track will be May 23 and 24.
The Research Program Committee requests the submission of research papers on the implementation, design, and analysis of file and storage systems. Specific areas of interest include, but are not limited to:
Exascale storage architecture and design
Parallel and distributed file systems
Designs of integrating parallel programming and distributed storage systems – Storage security and privacy
Storage provenance
Scalable metadata management
Techniques for building extremely scalable and distributed storage systems – Cloud storage systems and global-scale storage
Performance modeling and analysis of storage systems
Experiences with real-world systems and data storage challenges
Data protection and recovery
Data archiving
Data compression and deduplication
Long-term data preservation and management
Storage for virtualized environments
Disk and flash based primary and cold storage systems
File systems for shingled magnetic recording hard disk drives
File systems for solid state disk drives
Tiered storage
Storage virtualization
Networked storage architectures
New storage APIs: object storage, key-value stores, and others
I/O stacks for low-latency storage devices
Storage class memory devices and systems, such as phase change memory
Storage solutions usability
New memory technologies
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 research paper is 10 pages long. References are not included in page counts. Submission procedures will be published soon. Paper formats should adhere to the IEEE conference templates available at:
https://www.ieee.org/conferences/publishing/templates.html
Dates:
Research Track Submission Deadline: January 7, 2019
Research Track Notifications: February 15, 2019
Program Committee Co-Chairs:
– James Hughes, UCSC
– Thomas Schwarz, Marquette University