The simple book: an introduction to management of TCP/IP-based internets
The simple book: an introduction to management of TCP/IP-based internets
Managing Communication Networks by Monitoring Databases
IEEE Transactions on Software Engineering
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Network management: a practical perspective
Network management: a practical perspective
Developing network management applications in an application-oriented way using mobile agent
TNC'98 Proceedings of the TERENA networking conference '98 on Towards networking and services in the year 2001
Programs for Digital Signal Processing
Programs for Digital Signal Processing
Statistical Digital Signal Processing and Modeling
Statistical Digital Signal Processing and Modeling
Mobile Agents to Automate Fault Management in Wireless and Mobile Networks
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Adaptive Thresholding for Proactive Network Problem Detection
SMW '98 Proceedings of the IEEE Third International Workshop on Systems Management
Approaches to fault-tolerant and transactional mobile agent execution---an algorithmic view
ACM Computing Surveys (CSUR)
Automated Network Management Systems
Automated Network Management Systems
Analysis of mobile agents in network fault management
Journal of Network and Computer Applications
Advanced network monitoring applications based on mobile/intelligent agent technology
Computer Communications
Agent-based artificial immune system approach for adaptive damage detection in monitoring networks
Journal of Network and Computer Applications
Inference of network anomaly propagation using spatio-temporal correlation
Journal of Network and Computer Applications
The Journal of Supercomputing
Artificial immune system based mobile agent platform protection
Computer Standards & Interfaces
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Over the last few decades, network domains have become more and more advanced in terms of their size, complexity and level of heterogeneity. Existing centralized-based network management approaches suffer from problems such as insufficient scalability, availability and flexibility, as networks become more distributed. Mobile agents (MA), upgraded with intelligence, can present a reasonable new technology that will help to achieve distributed management. These agents migrate from one node to another, accessing an appropriate subset of Management Information Base (MIB) variables from each node analysing them locally and retaining the results of this analysis during their subsequent migration. One of the network fault management tasks is fault detection, and in this paper our purpose was to carry out a statistical method based on Wiener filter to capture the abnormal changes in the behaviour of the MIB variables. Our algorithm was implemented on data obtained from two different scenarios in the laboratory, with four different fault case studies. The purpose of this is to provide the manager node with a high level of information, such as a set of conclusions or recommendations, rather than large volumes of data relating to each management task. The filtering process is carried out concurrently by each agent responsible for a particular domain and device, proving to be more scalable and efficient.