The Changing Usage of a Mature Campus-wide Wireless Network

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Lawrence Barber
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1 The Changing Usage of a Mature Campus-wide Wireless Network Andrew Stone CS525m Mobile and Ubiquitous Computing

2 Overview Project Goal Data Collection Methods Findings and Data Analysis Conclusions and Recommendations 2

3 Project Goal Compare WLAN network usage statistics at Dartmouth college from fall 2001 and 2003/2004 Number and type of devices Applications in use Better understand user behavior 3

4 Networked Devices Voice over IP PBX converted to VoIP in 2003 Softphones and VoIP phones Client Devices Laptops, PDAs, phones, etc identified by using tcpdump traces and an OS fingerprinting tool (p0f) 4

5 Networked Devices 5

6 Data Collection (2001) Analysis of a Campus-wide Wireless Network (2001) b APs over 161 buildings 430 were tracked 115 Subnets Syslog tracking started before Contains authentication, association, and roaming information AP SNMP Polling for Client specific counters MAC, IP, Signal Strength, traffic info 6

7 Data Collection (2003) 566 APs over 188 buildings <115 Subnets (started using VLANs) >75% of undergrads own laptops VOIP phone records 18 sniffers covering 121 APs (most popular areas from 2001) 7

8 Data Collection 2001 Over 1700 different wireless cards 11 week period 2003 Over 7000 different wireless cards 17 week period 8

9 Definitions Card, Session, Active card, Active AP, Roam, Roaming Session, Roamer Card, Inbound, Outbound Mobile session, Mobile card 9

10 Mobile Session Distance between any two APs in a session > ab, bc, cd, da, ac, or bd 10

11 Questions asked Has the population grown? Have usage patterns changed? Where do users visit? 11

12 Has the population grown? 12

13 Active cards per day (2001) 13

14 Active cards per day (2003) 14

15 Active cards per hour (2001) 15

16 Active cards per hour (2003) 16

17 Heavy User Distribution 17

18 Average active days per week per user 18

19 Average active days per week per user 19

20 Active APs per day 20

21 Active APs per day 21

22 Average Active cards per active AP per day 22

23 Average Active cards per active AP per day 23

24 Max cards per hour, for busiest buildings 24

25 Max cards per hour, for busiest buildings 25

26 Daily Traffic (GB) 26

27 Daily Traffic (GB) 27

28 28

29 Total traffic 29

30 Total Traffic 30

31 Near/Far Traffic 31

32 Near/Far Traffic 32

33 Average daily traffic per AP, by AP category 33

34 Average daily traffic per AP, by AP category 34

35 VoIP calls by hour 35

36 VoIP CCDF of call duration 36

37 P2P Total Traffic 37

38 P2P Near/Far Traffic 38

39 Streaming Media Total Traffic 39

40 Streaming Media Near/Far Traffic 40

41 Mobility Time spent at home location 41

42 Mobile Session duration 42

43 Mobility Session diameter, distribution across sessions, by application 43

44 Conclusions and Recommendations Found dramatic increase in usage and change in applications Because the majority of users stay in their home location network caching and prediction-based schemes may be beneficial Device profiling: single VLAN campus wide for VoIP and PDA devices and building subnets for laptops Compare wireless usage against wired usage 44

45 Future Work WLAN moving to a/b/g Campus Cable TV network migrating to IP-based streaming video Wireless sniffers 45

46 Thoughts and Questions? 46

The Challenges of Measuring Wireless Networks. David Kotz Dartmouth College August 2005

The Challenges of Measuring Wireless Networks David Kotz Dartmouth College August 2005 Why measure? For better management Large WLANs need scalable management To manage you must monitor To monitor you