1. Description and Comparison to WWW Traffic
WAP Traffic
Description and Comparison to WWW Traffic
Presented by – Amit Palshikar
CSCI
Wireless Applications Development

2. 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.

3. Contents Overview of WAP technology Background of the Study
The Big Picture
Mobile Browser Sessions
Comparison to WWW Traffic
Conclusion & Future Work

4. Overview of WAP technology

5. Background of the Study
Bell Mobility – Cellular Service Provider
Services in Quebec and Ontario
Infrastructure
-Base Stations
-Interworking Functions (IWFs)

6. Background of the Study (2)

7. 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)

8. The Big Picture

9. 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

10. 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

11. 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

12. 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

13. Comparison to WWW Similarities – Differences – Daily Patterns
Weekly Patterns
No data to test seasonal patterns
Differences –
Smaller packets (95% < 220 bytes)
Shorter sessions

14. 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

15. References The WAP forum http://www.wapforum.com Bell Mobility Inc.
Pitkow, J.E. “Summary of WWW Characterization”. Web Journal 1999, Pages