A comparative measurement study the workload of wireless access points in campus networks

Our goal is to perform a system-wide characterization of the workload of wireless access points (APs) in a production 802.11 infrastructure. The key issues of this study are the characterization of the traffic at each access point (AP), its modeling, and a comparison among APs of different wireless campus-wide infrastructures. Unlike most other studies, we compare two networks using similar data acquisition techniques and analysis methods. This makes the results more generally applicable. We analyzed the aggregate traffic load of APs and found that the log normality is prevalent. The distributions of the wireless received and sent traffic load for these infrastructures are similar. Furthermore, we discovered a dichotomy of APs: there are APs with the majority of clients that are uploaders and APs in which the majority of their clients are downloaders. Also, the number of non-unicast wireless packets and the percentage of roaming events are large. Finally, there is a correlation between the number of associations and traffic load in the log-log scale

[1]  Azer Bestavros,et al.  Self-similarity in World Wide Web traffic: evidence and possible causes , 1996, SIGMETRICS '96.

[2]  Allen B. Downey,et al.  The structural cause of file size distributions , 2001, MASCOTS 2001, Proceedings Ninth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[3]  Vern Paxson,et al.  Empirically derived analytic models of wide-area TCP connections , 1994, TNET.

[4]  Murad S. Taqqu,et al.  On the Self-Similar Nature of Ethernet Traffic , 1993, SIGCOMM.

[5]  Tristan Henderson,et al.  The changing usage of a mature campus-wide wireless network , 2004, MobiCom '04.

[6]  Songwu Lu,et al.  Characterizing flows in large wireless data networks , 2004, MobiCom '04.

[7]  Mary Baker,et al.  Analysis of a local-area wireless network , 2000, MobiCom '00.

[8]  Walter Willinger,et al.  Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level , 1997, TNET.

[9]  Gennady Samorodnitsky,et al.  Variable heavy tails in Internet traffic , 2004, Perform. Evaluation.

[10]  Allen B. Downey.  The structural cause of file size distributions , 2001, SIGMETRICS '01.

[11]  Walter Willinger,et al.  Statistical Analysis and Stochastic Modeling of Self-Similar Datatraffic , 1994 .

[12]  David Kotz,et al.  Analysis of a Campus-Wide Wireless Network , 2002, MobiCom '02.

[13]  G. CN5MOP946Q,et al.  Characterizing user behavior and network performance in a public wireless lan , .

[14]  Magdalena Balazinska,et al.  Characterizing mobility and network usage in a corporate wireless local-area network , 2003, MobiSys '03.