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Broadband Wireless Network Applications and Performance

Broadband Wireless Network Applications and Performance. Carey Williamson Professor/iCORE Senior Research Fellow Department of Computer Science University of Calgary. Background Information. Education : B.Sc.(Hon.), Computer Science, U.Sask., 1985 Ph.D., Computer Science, Stanford U., 1992

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Broadband Wireless Network Applications and Performance

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  1. Broadband Wireless Network Applications and Performance Carey Williamson Professor/iCORE Senior Research Fellow Department of Computer Science University of Calgary

  2. Background Information • Education: • B.Sc.(Hon.), Computer Science, U.Sask., 1985 • Ph.D., Computer Science, Stanford U., 1992 • Experience: • Dept of Computer Science, U.Sask., 1991-2001 • Adjunct Scientist, TRLabs Saskatoon, 1991-2001 • Research Areas: • Computer Networks, Performance Evaluation • Professional Service/Memberships: • ACM (SIGMETRICS, SIGCOMM), IEEE, SCS

  3. Application: supporting network applications and end-user services FTP, SMTP, HTTP, DNS, NTP Transport: end to end data transfer TCP, UDP Network: routing of datagrams from source to destination IPv4, IPv6, BGP, RIP, routing protocols Data Link: hop by hop frames, channel access, flow/error control PPP, Ethernet, IEEE 802.11b Physical: raw transmission of bits Application Transport Network Data Link Physical Internet Protocol Stack 001101011...

  4. Research Interests • Network Traffic Measurement • Workload Characterization • Traffic Modeling • Network Simulation • Web Performance • Adaptive Network Applications

  5. Network Traffic Measurement • Collect and analyze packet-level traces from a live network

  6. Network Traffic Measurement • Collect and analyze packet-level traces from a live network, using special equipment

  7. Network Traffic Measurement • Collect and analyze packet-level traces from a live network, using special equipment 101101

  8. Network Traffic Measurement • Collect and analyze packet-level traces from a live network, using special equipment • Process traces, statistical analysis • Diagnose performance problems (network, protocol, application) 101101

  9. Workload Characterization • Try to understand the salient features of network, protocol, application, and user behaviour on the Internet • Example: Web server workloads [Arlitt96] • Zipf-like document referencing behaviour • Lots of “one-time” referencing of documents • Heavy-tailed file size distributions • Self-similar network traffic profile

  10. Traffic Modeling • Construct programs and statistical models that capture the empirically-observed network traffic behaviours • Allows flexible, controlled, repeatable generation of workloads for experiments • Examples: • Web client workload model • MPEG compressed video model • Self-similar Ethernet LAN traffic model • Synthetic Web proxy workload generator

  11. Network Simulation • Use computer simulation to study the packet-level behaviour of the Internet, its protocols, its applications, and its users • Examples: • Improving Web performance over ADSL • Understanding the effects of user mobility on Mobile IP routing and protocol performance • Studying the design, scalability, and performance of Web server and Web proxy caching architectures

  12. Web Performance • Explore techniques to improve the performance and scalability of the Web • Examples: • Clustered Web servers • Load balancing policies • Web prefetching strategies • Web proxy caching architectures • Improvements to HTTP and TCP protocols

  13. Adaptive Network Applications • Explore design of Internet-based network applications (or protocols) that can adapt their behaviour (automatically) to make appropriate use of available resources • Examples: • Web content for Java-enabled phones • Multicast support for mobile users • Location-aware routing optimizations • Wireless-aware TCP protocol • File system support for mobile users

  14. Summary of Research Plan • Broadband Wireless Networks Lab (UofC) • Experimental Laboratory for Internet Systems and Applications (UofS/UofC,CFI) • Research Team: • Four full-time research staff (Web, perf. eval., simulation, wireless, traffic modeling, network measurement) plus 6-10 graduate students • Research Collaborations: • UofC, UofA, UofS, TRLabs, CS/ECE • Nortel? HP? Cisco? Agilent? Compaq? Others? • Do cool, “hands on”, industrially-relevant, applied, practical, and exciting stuff!!

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