Preemptive Performance Monitoring of a Large Network of Wi-Fi Hotspots: An Artificial Immune System
Machaka, Pheeha and Antoine Bagula (2011) Preemptive Performance Monitoring of a Large Network of Wi-Fi Hotspots: An Artificial Immune System. In Proceedings WIRED/WIRELESS INTERNET COMMUNICATIONS 2011 6649, pages 494-504, Vilanova i la Geltrú, Spain.
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This paper addresses the problem of network monitoring by proposing an Artificial Immune System (AIS) system to achieve situation recognition and monitoring in a large network of Wi-Fi hotspots as part of a highly scalable preemptive monitoring tool for wireless networks. Using a set of data extracted from a live network of Wi-Fi hotspots managed by an ISP, we integrated an AIS algorithm into a data collection system to detect anomalous performance and aberrant behavior in the ISP’s network. The results reveal the efficiency of the AIS system in terms of both anomaly performance and aberrant behavior on several test case scenarios.
|EPrint Type:||Conference Paper|
|Keywords:||Performance Monitoring, Non-Self Detectors, Artificial Immune Systems, Anomaly Detection|
|Subjects:||C Computer Systems Organization: C.2 COMPUTER-COMMUNICATION NETWORKS|
|Deposited By:||Bagula, Antoine|
|Deposited On:||18 November 2011|