Transcript Document

University of Minnesota
D
I
S
C
Digital Technology Center
Intelligent
Storage
Consortium
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
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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
August 2002
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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
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Related Links
Universities
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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
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National Center for Supercomputer Applications (NCSA) – www.ncsa.uiuc.edu
San Diego Supercomputer Center (SDSC) – www.sdsc.edu
National Labs
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DoE:
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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:
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Army High Peformance Computing Research Center – www.ahpcrc.umn.edu
Naval Research Lab – www.nrl.gov
Scientific Organizations
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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
August 2002
(NCAR/UCAR) – www.ucar.edu
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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
August 2002
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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 realworld 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
August 2002
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Active Data Object based on Intelligent
Storage Concept
Intelligent Storage Consortium
David H.C. Du
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
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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
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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
August 2002
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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
ID x123
Blocks:3,42
Length:512
Objects enable self-managed storage.
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OSD System Architecture
I/O Application
I/O Application
Storage System
User
OPEN/CLOSE
Manager
Storage Device
Network
OSD Partitions the System
OSD Intelligence
Storage Device
The Manager is not in the data path.
August 2002
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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”
August 2002
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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
August 2002
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David H.C. Du
Academic Experience
With Department of Computer Science and
Engineering, University of Minnesota since 1981
 IEEE Fellow since 1998
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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
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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
August 2002
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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)
August 2002
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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)
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August 2002
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Zhi-Li Zhang
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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
August 2002
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Zhi-Li Zhang: Research Interests
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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
August 2002
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Jon B. Weissman
Department of Computer Science
University of Minnesota
http://dcsg.cs.umn.edu
[email protected]
Education and Background
Ph.D. UVa 1995 (Grimshaw advisor)
B.S. CMU 1984
Industry experience: Mitre Corp 19891991
Key architect of Legion project at U of Va
Research interests are in distributed systems, highperformance 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
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Current research is funded by NSF, AHPCRC, DTC,
and other sources
August 2002
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Yongdae Kim
Assistant Professor, CS of UMN
Education
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Ph.D. USC, 2002
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Advisor: Gene Tsudik
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Thesis: Group Key Agreement – theory and practice
MS,BS Yonsei Univ, Korea 1993, 1991
Emplyment History
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Jan. 2000 ~ Jun. 2002: UC Irvine, visiting researcher
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Sep. 1998 ~ Dec. 2000: USC/ISI, research assistant
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Feb. 1993 ~ Jun. 1998: ETRI, Korea, research staff
URL: http://www.cs.umn.edu/~kyd.
August 2002
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Research Interests
Network Security
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Peer Group: Key Agreement, Group Signatures, Public Key
Infrastructures, Access Control
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Multicast Security: Key Distribution, Stream Authentication
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Anonymous Communication
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Denial of Service Attacks: Prevention and Recovery
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Security of Mobile Ad Hoc Networks
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Storage Area Network security
Distributed Systems
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Fault-tolerant group communication
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Peer-to-peer Systems: file sharing, content distribution
Cryptography: Random Number Generators, Digital Signatures,
Block and Stream Ciphers
August 2002
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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
August 2002
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