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

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


1
University of Minnesota D Digital Technology
CenterI Intelligent S Storage 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

6
Whats 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
Whats 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
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 and cross platform
  • Use the higher level abstraction we needed
  • Offload read write from the storage server

Objects enable self-managed storage.
13
OSD System Architecture
I/O Application
Storage System
Manager
OPEN/CLOSE
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 Dus Current and Past Research Interests
  • 1980s physical database design,
    parallel/distributed processing
  • 1990s CAD for VLSI circuits, computer
    networking
  • 2000s 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 RD 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
  • Jon B. Weissman Department of Computer Science
  • University of Minnesota
  • http//dcsg.cs.umn.edu
  • jon_at_cs.umn.edu

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
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-product
    ion/distribution, data centric computing and
    communications, I/O for storage area networks
    and parallel computing, multimedia analysis,
    retrieval and protection, heart diagnostics
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