Synergy: blending heterogeneous measurement elements for effective network monitoring
Article No.: 41, Pages 1 - 2
Abstract
Network wide monitoring remains a complex and active research topic. Driven by such needs as anomaly detection, network-wide research has seen numerous measurement technologies, in parallel with the development of mathematical models and sampling techniques. We propose a line of work that examines how heterogeneous monitoring results may be effectively combined as a source of information greater than the individual elements.
Network traffic monitoring can be done in both time domain and space domain. In this work, we focus on spatial domain network monitoring. Placement of heterogeneous monitors for effective, accurate network monitoring is core of our proposal. Direct monitoring of traffic is beneficial in many ways and removes the need of additional optimization and modeling procedures. However, high cost of direct measurement makes it less feasible solution. We propose a solution of placing different types of monitors at different sites so that they all contribute in collective manner for effectively monitoring the network.
References
[1]
Yin Zhang, Mathew Roughan, Carsten Lund, David Donoho An information theoretic approach to traffic matrix estimation. In ACM SIGCOMM, Germany August 2003.
[2]
Anukool Lakhina, Mark Crovella, Christophe Diot Detecting Mining anomalies using traffic feature distribution. In ACM SIGCOMM, Philadelphia August 2005.
[3]
Gion Reto Cantieni, Gianluca Iannaccone, Chadi Barakat, Christophe Diot, Patrick Thiran. Reformulating the Monitor Placement Problem: optimal Network-Wide Sampling??
[4]
A. Lakhina, M. Crovella, and C. Diot. Diagnosing Network-Wide Traffic Anomalies. In ACM SIGCOMM, Portland, August 2004.
[5]
Andrew Moore & Konstantina Papagiannaki, "Toward the Accurate Identification of Network Applications" in Proceedings of the Passive & Active Measurement Workshop (PAM2005), March/Apri 2005.
Index Terms
- Synergy: blending heterogeneous measurement elements for effective network monitoring
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Association for Computing Machinery
New York, NY, United States
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Published: 04 December 2006
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