Mobile Agents for Network Fault Detection Based on The Wiener Filter

ISBN-13: 9783639174366 / Angielski / Miękka / 2009 / 208 str.

Mouham Al-Kasassbeh

Opis

Existing centralized based network managementapproaches suffer from problems such as insufficientscalability, availability and flexibility, asnetworks become more distributed. Mobile Agents (MA),upgraded with intelligence, can present a reasonablenew technology that will help to achieve distributedmanagement. These agents migrate from one node toanother, accessing an appropriate subset of MIBvariables from each node analysing them locally andretaining the results of this analysis during theirsubsequence migration. One of the network faultmanagement tasks is fault detection, and in this workwe purpose statistical method based on Wiener filterto capture the abnormal changes in the behaviour ofthe MIB variables. my algorithm was implemented ondata obtained from two different scenarios in thelaboratory, with four different fault case studies.The purpose of this is to provide the manager nodewith a high level of information, such as a set ofconclusions or recommendations, rather than largevolumes of data relating to each management task.

O autorze

Dr. Mouhammd Al-Kasassbeh, PhD in Computer science, University of
Portsmouth, UK. 2008. currently, Assistant Professor, IT
department, Mutah university. Areas of research interest are
networking, Intelligent Mobile agent systems and network security.