The Center for Research in Intelligent Storage (CRIS) pushes the boundaries of file, memory, and storage systems by exploring and developing new technologies and techniques to improve the usability, scalability, security, reliability, and performance of data storage systems.
Research Areas
Research on new storage technologies: flash memory-based solid-state drive, nonvolatile random-access memory, shingled write disks, and kinetic drives.
Research on new storage hierarchies and hyper-convergence: multilevel caching/prefetching, data allocation/migration, multitiered storage, new information technology infrastructure (seamlessly integrating server, storage and networking).
Cloud storage and Big Data: OpenStack, key-value store, Hadoop, Spark, Container, Access Hint, cloud storage, software-defined storage.
Input/output (I/O) workload characterization and synthetic workload generation.
Artificial intelligence (AI) and machine learning approaches for data and storage management and for systems design.
Facilities & Resources
Partner Organizations
Abbreviation |
CRIS
|
Country |
United States
|
Region |
Americas
|
Primary Language |
English
|
Evidence of Intl Collaboration? |
|
Industry engagement required? |
Associated Funding Agencies |
Contact Name |
David Du
|
Contact Title |
Center Director
|
Contact E-Mail |
du@cs.umn.edu
|
Website |
|
General E-mail |
|
Phone |
|
Address |
The Center for Research in Intelligent Storage (CRIS) pushes the boundaries of file, memory, and storage systems by exploring and developing new technologies and techniques to improve the usability, scalability, security, reliability, and performance of data storage systems.
Abbreviation |
CRIS
|
Country |
United States
|
Region |
Americas
|
Primary Language |
English
|
Evidence of Intl Collaboration? |
|
Industry engagement required? |
Associated Funding Agencies |
Contact Name |
David Du
|
Contact Title |
Center Director
|
Contact E-Mail |
du@cs.umn.edu
|
Website |
|
General E-mail |
|
Phone |
|
Address |
Research Areas
Research on new storage technologies: flash memory-based solid-state drive, nonvolatile random-access memory, shingled write disks, and kinetic drives.
Research on new storage hierarchies and hyper-convergence: multilevel caching/prefetching, data allocation/migration, multitiered storage, new information technology infrastructure (seamlessly integrating server, storage and networking).
Cloud storage and Big Data: OpenStack, key-value store, Hadoop, Spark, Container, Access Hint, cloud storage, software-defined storage.
Input/output (I/O) workload characterization and synthetic workload generation.
Artificial intelligence (AI) and machine learning approaches for data and storage management and for systems design.