University of Minnesota D Digital Technology Center I Intelligent S Storage C Consortium

1. University of MinnesotaD Digital Technology CenterI Intelligent SStorage C Consortium

2. Overall Focus • Emphasize the application of Advanced Storage Technologies • A Balanced approach to research that includes: • Applications that need/use storage • Advanced and Emerging Storage Architectures • Advanced and Emerging Storage Technologies both software and hardware • Business Cases and aspects of the Storage industry • Market Trends • Product Directions • Effects of these disruptive technologies • Adoption rates • Provide consortium members with not just technology research but a more complete and significant outcome

3. Initial Specific Focus • Applied Object-based Storage Device (OSD) Active Storage • The Application of OSD and Active Storage Devices to different real-world problems • Demonstrate the feasibility and advantages of OSD and Active Storage • Develop an understanding of the limitations of OSD and Active Storage from a theoretical and practical standpoint • How OSD Active Storage addresses real-world problems facing the storage industry today and tomorrow • Must make this a Win-Win value proposition for the University and Industry

4. University Participation • The Digital Technology Center • Jim Licari and Tom Ruwart • Cross-disciplinary University participants • Computer Science – Software Technology focus • David Du – Active disk, OSD, and Networking • Jon Weissman – Software systems, grid computing • Yongdae Kim- Computer and Network Security • Zhili Zhang – Networking and Internet Engineering • Electrical Engineering – Hardware Technology focus • Ahmed Tewfik – Signal processing, wireless network • David Lilja – Computer Architecture, Distributed systems • Carlson School of Business – Business focus • Bob Kauffman, Information and Decision Sciences • Alok Gupta • Gediminas Adomavicius

5. Related Links • Universities • University of California Santa Cruz – Storage Systems Research Center - http://ssrc.cse.ucsc.edu/ • Carnegie Mellon University (CMU) Parallel Data Lab (PDL) http://pdl.cmu.edu • University of California San Diego Information Storage industry Center - http://isic.ucsd.edu • National Research Centers • National Center for Supercomputer Applications (NCSA) – www.ncsa.uiuc.edu • San Diego Supercomputer Center (SDSC) – www.sdsc.edu • National Labs • DoE: • Los Alamos National Labs – www.lanl.gov • Lawrence Livermore National Labs – www.llnl.gov • Sandia National Labs – www.sandia.gov • Fermi National Accelerator Lab – www.fnal.gov • DoD: • Army High Peformance Computing Research Center – www.ahpcrc.umn.edu • Naval Research Lab – www.nrl.gov • Scientific Organizations • NASA - www.nasa.gov • National Radio Astronomy Observatory (NRAO) – www.nrao.edu • National Oceanic and Atmospheric Administration (NOAA) – www.noaa.gov • National Center for Atmospheric Research / University Corporation for Atmospheric Research (NCAR/UCAR) – www.ucar.edu • United States Geological Survey (USGS) – www.usgs.gov

6. What’s in it for the University • Provides ample supply of focused, real-world projects and funding for Masters and PhD Thesis work • Connects students more closely with industry giving them a more complete education • Technology transfer from the University to Industry and vice versa (possibility of shared Intellectual Property) • Research projects with industrial partners can be leveraged to obtain grants for research in other areas • The DTC can act as a catalyst to bring other colleges and departments together to focus research on real-world interdisciplinary problems and issues

7. What’s in it for the Industrial Partners • Ability to participate in more complete and significant research that is Application-driven and incorporates Storage Architectures, Technologies, and Relevant Business issues • Use of research staff and students to explore and study real-world problems and issues • Access to a pool of well-trained engineers for hiring • Access to research facilities and cost-effective students • Assistance in developing proof-of-concept technology demonstrations involving real-world problems and issues • A common ground to meet and work with other companies on pre-competitive problems and issues related to the storage industry at large • Funding leverage with other federal and state funding

8. Active Data Object based on Intelligent Storage Concept Intelligent Storage Consortium David H.C. Du

9. What is happening? • Computing devices with large storage capacity becoming pervasive • Wireless and mobile devices becoming popular • Storage systems becoming cheaper and larger • The volume of available data becoming extremely large and hard to manage

10. Future Computing Environment • Global Internet: reach everywhere • Pervasive Computing: include many appliances with wireless ad hoc networks • Intermittent Connectivity • Large storage capacity in each device • Data duplication is a must • Dynamically changed user demand

11. Our Initial Focus • Propose and develop the active data object concept • Based and extending the OSD (Object Storage Device) Standards • Apply the OSD and intelligent storage concept to future computing environment • Investigate applications and environments that can benefit directly

12. ID x123 Blocks:3,42 Length:512 Object Storage Model • An object is a logical unit of storage • Lives in flat name space with an ID • Contains data and metadata (similar to an inode) • File-like methods: open, close, read, write • An OSD stores objects and could be any of • Disk drive, storage appliance, storage controller, … • OSDs enables high performance andcross platform • Use the higher level abstraction we needed • Offload read & write from the storage server Objects enable self-managed storage.

13. I/O Application User Network OSD Partitions the System OSD Intelligence Storage Device OSD System Architecture I/O Application Storage System OPEN/CLOSE Manager Storage Device READ/WRITE MANAGEMENT The Manager is not in the data path.

14. Proposed Extension to OSD • Data Ownership • Data Access Rights • Data Access Log • Data Encryption Information • Current Version Number • Meta Data Manager Location • Expected I/O Performance Requirement • Potential Data Processing “Methods”

15. Current Status • Research projects are defined • 5 faculty and 6 research assistants (supported by DTC seed funding) are involved • Actively soliciting industrial partners • Aggressively seeking federal funding

16. David H.C. Du • Academic Experience • With Department of Computer Science and Engineering, University of Minnesota since 1981 • IEEE Fellow since 1998 • Industrial Experience • Senior Consulting, ITRI/CCL Taiwan, 1996 • VP of Engineering at 3CX, 1998: lead a team of 30+ engineers working on ATM switches, ATM NICs, Fast Ethernet switches, and streaming video severs • Chairman & CEO, Streaming21, 2001: Raised $18M and focus on streaming video software products

17. David Du’s Current and Past Research Interests • 1980’s: physical database design, parallel/distributed processing • 1990’s: CAD for VLSI circuits, computer networking • 2000’s: multimedia computing, high-speed and optical networks, mass storage systems • Published more than 150 papers including 75 journal articles; Graduated 37 Ph.D. and 65 M.S. Students

18. David J. Lilja • Academic experience • Professor, Electrical and Computer Engineering, University of Minnesota (1991-present) • Director of Graduate Studies, Computer Engr (1996-1998) • Visiting Professor, University of Western Australia (2001) • Ph.D., Electrical Engineering, University of Illinois at Urbana-Champaign (1991) • Industrial experience • Visiting senior engineer, Future Processor Performance Group, IBM, Rochester, Minnesota (2000) • Processor development engineer, Tandem Computers, Inc., Cupertino, California (1982-1986)

19. David J. Lilja • Research Interests • High-performance computer architecture • Parallel and distributed systems • Multiprocessor memory/storage hierarchies • Performance measurement and analysis • Compilers • Hardware/software co-design • Molecular computing (nanocomputing)

20. Zhi-Li Zhang • Ph.D, U. of Massachusetts, Feb 1997 • Assistant Professor, Jan 1997-May 2002 • McKnight Land-Grant Professorship, 2000-2003 • Associate Professor, Fall 2002 – • Visiting positions at many industrial R&D labs • Sprint ATL, Fujitsu Labs, IBM T.J. Waston, … • Editors for • IEEE/ACM Transactions on Networking • International Journal of Computer Networks • Served on many conference/workshop committees

21. Zhi-Li Zhang: Research Interests • Networking and Internet Technology • performance and quality of service • routing and network engineering • Multimedia Systems • video streaming techniques • Networked Storage Systems • network support and qualify of service • Distributed Computing Systems • grid computing, service discovery and routing

22. Education and Background • Ph.D. UVa 1995 (Grimshaw advisor) • B.S. CMU 1984 • Industry experience: Mitre Corp 1989-1991 • Key architect of Legion project at U of Va Jon B. WeissmanDepartment of Computer Science University of Minnesota http://dcsg.cs.umn.edu jon@cs.umn.edu

23. Research interests are in distributed systems, high-performance computing, Grid computing, distributed storage. • Has published 40 referred papers in these areas • Leads Distributed Computing Systems Group: 10 in group • Most recent project is community services • Developed several scheduling systems: Prophet, Gallop • Current research is funded by NSF, AHPCRC, DTC, and other sources

24. Yongdae Kim • Assistant Professor, CS of UMN • Education • Ph.D. USC, 2002 • Advisor: Gene Tsudik • Thesis: Group Key Agreement – theory and practice • MS,BS Yonsei Univ, Korea 1993, 1991 • Emplyment History • Jan. 2000 ~ Jun. 2002: UC Irvine, visiting researcher • Sep. 1998 ~ Dec. 2000: USC/ISI, research assistant • Feb. 1993 ~ Jun. 1998: ETRI, Korea, research staff • URL: http://www.cs.umn.edu/~kyd.

25. Research Interests • Network Security • Peer Group: Key Agreement, Group Signatures, Public Key Infrastructures, Access Control • Multicast Security: Key Distribution, Stream Authentication • Anonymous Communication • Denial of Service Attacks: Prevention and Recovery • Security of Mobile Ad Hoc Networks • Storage Area Network security • Distributed Systems • Fault-tolerant group communication • Peer-to-peer Systems: file sharing, content distribution • Cryptography: Random Number Generators, Digital Signatures, Block and Stream Ciphers

26. Ahmed Tewfik E. F. Johnson Professor of Electronic Communications • BS in Electrical Engineering from Cairo University • ScD and Master in Science degrees in EE and Computer Science from MIT • Awards and Honors- IEEE 3rd Millennium Award, Fellow of the IEEE, Distinguished lecturer of the IEEE, George Taylor Faculty Award, NSF Research initiation award, Plenary speaker at numerous IEEE conferences • Founder & CEO of Cognicity, sold to Digimarc • Founded and led IEEE publication, IEEE Signal Processor letters • Consultant to Emerson-Rosemount and MTS • Areas of research: High speed wireless networking for storage and multimedia production/post-production/distribution, data centric computing and communications, I/O for storage area networks and parallel computing, multimedia analysis, retrieval and protection, heart diagnostics