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WAP Traffic. Description and Comparison to WWW Traffic. Presented by – Amit Palshikar CSCI 5939.02 Wireless Applications Development. Acknowledgment. Presentation based on Paper titled WAP Traffic: Description and Comparison to WWW Traffic By Thomas Kunz, Thomas Barry, Xinan Zhou,

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wap traffic

WAP Traffic

Description and Comparison to WWW Traffic

Presented by – Amit Palshikar

CSCI 5939.02

Wireless Applications Development

acknowledgment
Acknowledgment

Presentation based on Paper titled

WAP Traffic: Description and Comparison to WWW Traffic

By Thomas Kunz, Thomas Barry, Xinan Zhou,

James P. Black and Hugh M. Mahoney

Published in “Proceedings of the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems”, August 2000.

contents
Contents
  • Overview of WAP technology
  • Background of the Study
  • The Big Picture
  • Mobile Browser Sessions
  • Comparison to WWW Traffic
  • Conclusion & Future Work
background of the study
Background of the Study
  • Bell Mobility – Cellular Service Provider
  • Services in Quebec and Ontario
  • Infrastructure

-Base Stations

-Interworking Functions (IWFs)

background of the study 3
Background of the Study (3)
  • Data Collected from June 1, 1999 through December 31, 1999
  • Size of trace files

– 5 MB (Weekdays)

– 3 MB (Weekends)

the big picture 2
The Big Picture (2)
  • Growth
  • Used more during office hours
  • Peak between 3 and 4pm
  • Low between 4 and 5am
  • 95% packets smaller than 220 bytes
  • Average packet size 101 bytes
sessions
Sessions
  • Sequence of interactions between user and mobile browser as represented by transmissions between browser and gateway
  • Initiated by user Ends after a delay of 90
  • sec. or more between successive packets
sessions 2
Sessions (2)
  • Browser Session Characteristics

-Avg. number of concurrent sessions is 3

-Max. number of concurrent sessions is 8

-Avg. length of browser session is 3.38 min.

-maximum session length observed – 100min

sessions 3
Sessions (3)
  • Activity Factor

The percentage of time data is transmitted during a browser session

  • Affects the network utilization
  • For wireless data transfers, this AF is comparable to voice activity factor
comparison to www
Comparison to WWW
  • Similarities –
    • Daily Patterns
    • Weekly Patterns
    • No data to test seasonal patterns
  • Differences –
    • Smaller packets (95% < 220 bytes)
    • Shorter sessions
conclusion future work
Conclusion & Future Work
  • Increased use necessitates need for careful network planning and resource allocation
  • Enhance the understanding of user behavior
  • More complete models will enable development of capacity planning and prediction tools for new PCS applications
references
References
  • The WAP forum

http://www.wapforum.com

  • Bell Mobility Inc.

http://www.bellmobility.com

  • Pitkow, J.E. “Summary of WWW Characterization”. Web Journal 1999,Pages 3 - 13
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