Machaka, Pheeha and Bagula, Antoine (2011) Preemptive Performance Monitoring of a Large Network of Wi-Fi Hotspots: An Artificial Immune System, Proceedings of WIRED/WIRELESS INTERNET COMMUNICATIONS 2011, June 15-17, 2011, Vilanova i la Geltrú, Spain, 6649, 494-504, Springer.
Full text not available from this repository. (Use alternate locations listed below)Abstract
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.
| Item Type: | Conference paper |
|---|---|
| Uncontrolled Keywords: | Performance Monitoring, Non-Self Detectors, Artificial Immune Systems, Anomaly Detection |
| Subjects: | Computer systems organization > Architectures > Distributed architectures |
| Alternate Locations: | http://www.springerlink.com/content/4q21g23073m54231/ |
| Date Deposited: | 18 Nov 2011 |
| Last Modified: | 10 Oct 2019 15:33 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/719 |
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