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- 1 About CRIS
- 2 Center Mission
- 3 Center Research Portfolio
- 4 Support
- 5 Current CRIS Members
- 6 CRIS Storage Workshop
- 6.1 CRIS Storage Workshop 2013 - Storage and Big Data
- 6.2 CRIS Storage Workshop 2014 - Future Challenges for Storage
- 6.3 CRIS Storage Workshop 2016 - Big Data and Storage Systems
- 6.4 CRIS Storage Workshop 2017 - Cloud Computing and Storage Systems
- 6.5 CRIS Storage Workshop 2018 - Hyperscale Data Centers and Storage Systems
The Center for Research in Intelligent Storage (CRIS) is a partnership between universities and industry, featuring high-quality, industrially relevant fundamental research, strong industrial support of collaboration in research and education, and direct transfer of university developed ideas, research results, and technology to U.S. industry to improve its competitive posture in world markets. Through innovative education of talented graduate and undergraduate students, CRIS is providing the next generation of scientists and engineers with a broad, industrially oriented perspective on engineering research and practice.
The goal of the Center for Research in Intelligent Storage (CRIS) is to push 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 storage systems.
The Center was established in 2009 at the University of Minnesota a university with strong ties to the storage system industry: Minneapolis has long been a center of the storage industry in the United States. Texas A&M and Temple University joined the center in 2014. Research projects in the Center are supported by industrial members, and the Center encourages frequent participation by industry employees in the projects: participation in weekly meetings via phone call, email discussions, and face-to-face meetings. The Center encourages students to engage member companies via summer internships, facilitating technology transfer and building strong ties that can result in full-time employment after graduation
Center Research Portfolio
|Research Pathway||Research Project Title||Students / Advisors||Sponsors||Start Date|
|NEW STORAGE DEVICES||UMN - New Storage Devices||Baoquan Zhang, Fenggang Wu, Xuchao Xie, Hebatalla Eldakiky / Dr. David Du||Seagate||Nov 2015|
|TX A&M - Data Protection for Key-Value Device||Mian Qin / Dr. Narisimha Reddy & Dr. Paul Gratz||Samsung||Mar 2017|
|UMN - Database Application Accelerators in Solid-State Disks||Jinfeng Yang / Dr. David Lilja||Intel||Aug 2016|
|NEW STORAGE HIERARCHIES||TX A&M - Virtualization of NVM||Jaemin Jung, Chih Chieh Chou/ Dr. Narisimha Reddy & Dr. Paul Gratz||HPE||Sep 2015|
|UMN - Storage System Design with Hybrid Memory||Ming-Hong Yang / Dr. David Du||HPE||Jun 2017|
|TX A&M - Data Prefetching (completed end of 2017)||Jinchun Kim, Mian Qin / Dr. Narisimha Reddy & Dr. Paul Gratz||Dell-EMC||Sep 2015|
|TX A&M - Peripheral Memory Management Unit||Fei Wen, Mian Qin / Dr. Narisimha Reddy & Dr. Paul Gratz||Dell-EMC||Nov 2015|
|Temple - RAID Harmony Cache||Tanaya Roy / Dr. Krishna Kant||Dell-EMC||Oct 2015|
|UMN - TxRAID Low Cost Write Hole Protection for Software RAID||Alireza Haghdoost / Dr. David Du||Dell-EMC||Oct 2014|
|Temple - Provenance Directed Data Prefetching||Dusan Ramljak / Dr. Krishan Kant||HPE||Oct 2015|
|Temple -Intelligent Server-Side Caching for Program Development Environments||Dusan Ramljak, Lu Pang, Jiacheng Shang / Dr. Krishna Kant||Huawei||Oct 2017|
|UMN - NoSQL Data Base HBase Performance Optimization on Top of Key Value Store||Zhichao Cao / Dr. David Du||Huawei||Mar 2017|
|CLOUD & BIG DATA||UMN - Software Defined Storage in the New Cloud with Docker||Hao Wen / Dr. David Du||HPE||Apr 2017|
|UMN - Ceph Bluestore with NVMe SSDs||Fenggang Wu / Dr. David Du||Salesforce||Aug 2017|
|Temple - Intelligent Caching in the Ceph Distributed Storage System||Madhurima Ray, Lu Pang / Dr. Krishna Kant||Salesforce||Oct 2017|
|TOOLS||UMN - Block I/O Workload Replay Tool||Bingzhe Li / Dr. David Lilja||IBM||Apr 2016|
|UMN - HyperProtect: An Automatic Data Protection||Yaobin Qin / Dr. David Lilja||Veritas||Jan 2017|
The Center is primarily supported by its industrial membership and by funding from the National Science Foundation. The Center is part of the Industry & University Cooperative Research Program (I/UCRC) at NSF.
Current CRIS Members
Currently the center is supported by the following industry members.