A scalable framework for wireless network monitoring

The advent of small form-factor devices, falling hardware prices, and the promise of untethered communication is driving the prolific deployment of wireless networks. The monitoring of such networks is crucial for their robust operation. To this end, this paper presents VISUM, a scalable framework for wireless network monitoring. VISUM relies on a distributed set of agents within the network to monitor network devices and store the collected information at data repositories. VISUM's key features are its extensibility for new functionality, and its seamless support for new devices and agents in the monitoring framework. These features enable network operators to deploy, maintain, and upgrade VISUM with little effort. VISUM can also visualize collected data in the form of interactive network topology maps as well as real-time statistical graphs and reports. These visualizations provide an intuitive, up-to-date, and useful overview of a wireless network. We have implemented VISUM and used it to monitor a wireless network deployment at UC-Santa Barbara. In this paper, we describe the architecture of VISUM and report on the performance of the monitored network using information collected by VISUM.

[1]  Jeffrey D. Case,et al.  Simple network management protocol , 1995 .

[2]  Jeffrey D. Case,et al.  Simple Network Management Protocol (SNMP) , 1989, RFC.

[3]  Jeff Sedayao,et al.  LACHESIS: A Tool for Benchmarking Internet Service Providers , 1995, LISA.

[4]  Kevin R. Fall,et al.  Ns: notes and documentation , 1997 .

[5]  Vern Paxson,et al.  End-to-end routing behavior in the Internet , 1996, TNET.

[6]  Mario Gerla,et al.  GloMoSim: a library for parallel simulation of large-scale wireless networks , 1998 .

[7]  Ram Periakaruppan,et al.  GTrace - A Graphical Traceroute Tool , 1999 .

[8]  Kevin C. Almeroth,et al.  A Scalable Architecture for Monitoring and Visualizing Multicast Statistics , 2000, DSOM.

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

[10]  Chris Lonvick,et al.  The BSD Syslog Protocol , 2001, RFC.

[11]  Mary Baker,et al.  Analysis of a Metropolitan-Area Wireless Network , 2002, Wirel. Networks.

[12]  Krishna P. Gummadi,et al.  King: estimating latency between arbitrary internet end hosts , 2002, IMW '02.

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

[14]  David Wetherall,et al.  Scriptroute: A Public Internet Measurement Facility , 2003, USENIX Symposium on Internet Technologies and Systems.

[15]  T. Anderson,et al.  Quantifying the Causes of Path Inflation , 2003, SIGCOMM 2003.

[16]  Kevin C. Almeroth,et al.  Towards realistic mobility models for mobile ad hoc networks , 2003, MobiCom '03.

[17]  Calvin Newport,et al.  The mistaken axioms of wireless-network research , 2003 .

[18]  David Wetherall,et al.  Scriptroute: a facility for distributed internet measurement , 2003 .

[19]  Ratul Mahajan,et al.  The causes of path inflation , 2003, SIGCOMM '03.

[20]  Kevin C. Almeroth,et al.  Analysis of routing characteristics in the multicast infrastructure , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[21]  Maria Papadopouli,et al.  Analysis of wireless information locality and association patterns in a campus , 2004, IEEE INFOCOM 2004.

[22]  Ratul Mahajan,et al.  Measuring ISP topologies with rocketfuel , 2002, TNET.

[23]  R.R. Bitmead,et al.  Modeling dynamic channel allocation algorithms in multi-BS TDD wireless networks with Internet based traffic , 2004, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

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