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Center for Research in Intelligent Storage (CRIS)

Temple University

Texas A&M University

University of Minnesota

Last Reviewed: (not done)

The primary focus of CRIS is the research of intelligent, advanced digital storage systems using combinations of new technologies and advanced algorithms to improve the usability, performance, scalability, security, and reliability of information storage.

Center Mission and Rationale

The Center for Research in Intelligent Storage (CRIS) is a partnership between universities and industry to explore and develop new technologies and techniques to improve the usability, scalability, security, reliability, and performance of storage systems. CRIS features 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.

CRIS provides the means for Industry Partners to leverage research and development (R&D) investments with multi-university centers renowned for their innovative research capabilities, while catalyzing discoveries that form the basis for new technologies, stressing partnerships and collaborative research with universities, foundations, private industry, and other federal agencies.

The Center is established in universities with strong ties to the storage system industry: Silicon Valley and Minneapolis have long been centers of the storage industry in the United States. 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.


Research program

Integrating SSS into Storage Hierarchy

Flash memory is increasingly adopted as main data storage media in mobile devices, notebooks, desktops, and enterprise class servers. This is mainly due to the flash memory superior characteristics, over conventional disk drives that includes smaller size, lighter weight, lower power consumption, shock resistance, lesser noise, non-volatility memory, and faster read performance. Replacing magnetic convectional disks by solid state disks (SSD) would result in significantly improved performance. However, there are still significant opportunities to exploit distinguishing SSD’s characteristics in a wide variety of applications. In this project, we aim to explore several new approaches to exploiting SSD characteristics that will significantly enhance the performance of selected applications including file systems and database systems.

Scalable File System Indexing

As the number and variety of files stored and accessed by users dramatically increases, existing file system structures have begun to fail as a mechanism for managing all of the information contained in those files. Many applications, such as email clients, multimedia management applications, and desktop search engines, have been forced to develop their own richer metadata infrastructures. While effective, these solutions are generally non-standard, non-portable, and potentially non-scalable. These issues suggest search, indexing, and information retrieval are becoming increasingly important areas for file and storage systems. In conjunction with faculty and students specializing in information retrieval at the UC Santa Cruz Department for Information Systems and Technology Management, we are developing system architectures that address these issues, which are scalable up to billions of files. 

Special Activities

Storage issues for Cloud Computing and Big Data.

Storage issues for HPC and Exascale computing.

Facilities and Laboratory



University of Minnesota

200 Union Street SE

Minneapolis, Minnesota, 55455

United States

Temple University

324 Wachman Hall
1805 N. Broad Street

Philadephia, Pennsylvania, 19122

United States



Texas A&M University

301 Wisenbaker Eng. Building
3128 TAMU

College Station, Texas, 77843

United States