Team

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

2. Outline 8:45 Welcome (Sameh) 9:00 Overview (ake) 9:30 Databases(ghafoor) 10:00 Storage(sunil) 10:15 Compression(delp) 10:30 Break 10:45 Networks(park) 11:15 Scheduling(yau) 11:30 Security(spafford) 12:00 Lunch 12:30 Education and Outreach(ake) 1:00 Aplications(enh) 1:15 Infrastructure(korb) 1:45 New faculty(fahmy and Arif) 2:15 Dean visit 3:00 Tour of facilities

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

4. 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.

5. Research methods • Experimental infrastructure for research in: • networks • databases • security • compression • & • storage technology.

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

8. 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.

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

10. 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

11. 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.

12. 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.

13. 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.

14. 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.

17. 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

18. 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 Special purpose network $ 1,000 $ 40,000 card 1 Multicast streaming $ 2,500 $ 2,500 software Total $402,500 Table 2: Networking Equipment

19. Qty Description Unit Cost Total Cost 5 MPEG–1 encoder $ 5,000 $25,000 2 MPEG–2 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

20. Qty Description Unit Cost Total Cost 2 Hierarchical storage $110,000 $220,000 management 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

21. 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

22. Figure 1: Applications, Challenges, and Infrastructure of the Project

24. 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).

25. 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.

26. 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.

27. Research Agenda • Networks • Database • Security

28. Networks • Dual QoS Network Architecture • Guaranteed Service Architecture • Stratified Best Effort Architecture • Experiments

29. Operating Systems • Scheduling • Network/OS interface

30. MM Databases • Distributed Multimedia Databases • Storage technology • Compression • Experimentation

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

32. 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.