Principal investigator and team leader:

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Team

• Principal investigator and team leader
• Ahmed Elmagarmid
• Task leaders
• Park
• Spafford
• Ghafoor
• Korb
• Research team 18 faculty members

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Outline

• 845 Welcome (Sameh)
• 900 Overview (ake)
• 930 Databases(ghafoor)
• 1000 Storage(sunil)
• 1015 Compression(delp)
• 1030 Break
• 1045 Networks(park)
• 1115 Scheduling(yau)
• 1130 Security(spafford)
• 1200 Lunch
• 1230 Education and Outreach(ake)
• 100 Aplications(enh)
• 115 Infrastructure(korb)
• 145 New faculty(fahmy and Arif)
• 215 Dean visit
• 300 Tour of facilities

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Objectives

• Research, education, and outreach in the field
  of Multimedia Computing.

Networks
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Significance

• A unique private high speed backbone that will
  allow unlimited experimental research to go on
  with direct access to Purdue rich infrastructure
  and I2.

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Research methods

• Experimental infrastructure for research in
• networks
• databases
• security
• compression
• storage technology.

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Focus

• The use of relevant research in Multimedia with
  an emphasis on QoS requirements across the
  various research areas.

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Multimedia Research Testbed Construction

• Acquire the equipment necessary to create a world
  class multimedia computing environment to be used
  as a multimedia support infrastructure (MSI). The
  architecture and configuration of this testbed
  MSI will form the substrate for our research team.

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(1) Capture
(2) Compress
(4) Network
(5) Display
(3) Store, Index, Retrieve
Figure 2. Quality of Service Multimedia
Infrastructure
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Distributed Multimedia Database Management

• Quality of presentation management,
  specification, and translation as they relate to
  data storage, I/O management, data placement,
  meta-schema design, data replication for
  reliability and efficiency, admission control for
  user sessions, and benchmarking of distributed
  applications.
• Develop and benchmark multimedia compression
  techniques for the transport of complex
  multimedia objects across the distributed networks

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QoS Management for Networked Multimedia

• We propose to use the MSI infrastructure to
  perform research in QOS-sensitive access,
  dissemination, and transport of multimedia data
  retrieved from distributed multimedia databases.

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Security at User and Network Levels

• Security is major concern for information systems
  that may be deployed in practice. We are planning
  to use the MSI infrastructure to perform research
  in ATM security, audit trails, watermarking, and
  intrusion detection of multimedia networks and
  data.

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Security

• QoS- sensitive security architecture
• Security mechanisms (user plane protection,
  control/management plane protection).
• Secure QoS maintenance (use plane services,
  control/management plane services.
• ATM security.

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Multimedia Capture and Presentation

• Realistic capture, compression, and presentation
  of multimedia data. To this end, we plan to
  employ real-world multimedia data applications
  already accessible to us. The research in this
  category will be limited to compression. The rest
  of the issues in capture and presentation are
  carried out using commercial off-the-shelf
  technology.

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Equipment Category Five-Year Budget Capture
20,400 Compression
85,000 Storage 406,000 Networking
402,500 Presentation and Development
95,500 Total 1,009,400
Table 1 Summary of Equipment by Category
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Qty Description Unit Cost Total Cost 3 ATM
backbone switch 30,000 90,000 8 ATM workgroup
switch 7,000 56,000 4 Gigabit Ethernet
switch 12,000 48,000 2 Myrinet switch
5,000 10,000 4 Wireless network 1,500
6,000 6 WFQ and RSVP router 25,000 150,000 40 Sp
ecial purpose network 1,000
40,000 card 1 Multicast streaming 2,500
2,500 software Total 402,500
Table 2 Networking Equipment
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Qty Description Unit Cost Total Cost 5 MPEG1
encoder 5,000 25,000 2 MPEG2 encoder
23,000 46,000 2 Digital video to MPEG
5,000 10,000 encoder 2 Internet video
encoder 2,000 4,000 Total 85,000
Table 3 Compression Equipment
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Qty Description Unit Cost Total
Cost 2 Hierarchical storage 110,000 220,000 m
anagement system 2 Database computer engine
55,000 110,000 1 RAID storage server
36,000 36,000 1 Experimental storage
40,000 40,000 server Total 406,000
Table 4 Storage Systems and Database Equipment
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Qty Description Unit Cost Total Cost 2 Analog
video camera 1,000 2,000 2 Digital video
camera 3,200 6,400 2 Audio recorder
1,000 2,000 2 Still image recorder
5,000 10,000 10 Hardware MPEG-2 500
5,000 decode 50 Software MPEG-1 50
2,500 decoder 50 Internet video decoder
20 1,000 4 Low-end workstation 4,000
16,000 4 High-end workstation 14,000
56,000 5 Portable computer 3,000
15,000 Total 115,900
Table 5 Capture and Presentation Equipment
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Figure 1 Applications, Challenges, and
Infrastructure of the Project
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QoS Dimensions

• Maximal end-to-end latency levels.
• Service precedence among different data sets.
• Reliability (e.g. error correction).
• Delay (mean transfer delay, 95 percentile
  transfer delay).
• Throughput (maximum bit rate, mean bit rate).
• Scheduled repeated transmission (number or
  repetitions, interval of repetitions).

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Why is it Important

• Data delivery delay variations, bit errors and
  data loss all are very pertinent to the quality
  of the video stream received. A transmission
  link with a bit error rate of 10-5 would be
  acceptable for non-real time data transmission
  with some form of error correction, but
  unacceptable in a video stream. Therefore, in
  order to study issues which are significant in
  terms of the quality of video received we must
  extend it to QoP.

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User Level Quality QoP

• Oriented toward the perceived quality received
  and/or specified by the end user for audio, video
  or multimedia applications
• presentation latency,
• jitter,
• luminance levels,
• noise levels in the audio or images,
• truthfulness of color rendering,
• contrast, display resolution in terms of
  detail/sharpness etc.

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Research Agenda

• Networks
• Database
• Security

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Networks

• Dual QoS Network Architecture
• Guaranteed Service Architecture
• Stratified Best Effort Architecture
• Experiments

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Operating Systems

• Scheduling
• Network/OS interface

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MM Databases

• Distributed Multimedia Databases
• Storage technology
• Compression
• Experimentation

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Database Issues

• Intelligent Multimedia Data Placement.
• High performance I/O and disk scheduling.
• Tertiary storage issues FT, Scheduling etc.

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Distribution Issues

• Mapping of QoS requirements into terms the DBMS
  can deal with (admission control, resource
  allocation etc.).
• QoS-QoP negotiation protocols.
• Video Database servers research and comparison
  with existing commercial servers.