dc.contributor.advisor | Agbinya, Johnson I. | |
dc.contributor.author | Kogeda, Okuthe Paul | |
dc.date.accessioned | 2014-09-15T13:22:28Z | |
dc.date.available | 2014-09-15T13:22:28Z | |
dc.date.issued | 2008 | |
dc.identifier.uri | http://hdl.handle.net/11394/3661 | |
dc.description | Philosophiae Doctor - PhD | en_US |
dc.description.abstract | The underlying theme of this thesis is identification, classification, detection and prediction of cellular network faults using state of the art technologies, methods and algorithms. | en_US |
dc.language.iso | en | en_US |
dc.subject | OSS | en_US |
dc.subject | Network faults modeling | en_US |
dc.subject | Network service modeling | en_US |
dc.subject | Network; service reliability | en_US |
dc.subject | Service Level Agreement (SLA) | en_US |
dc.subject | Network service dependency | en_US |
dc.subject | Mobile Intelligent Agents (MIA) | en_US |
dc.subject | Network faults prediction | en_US |
dc.subject | Bayesian Network | en_US |
dc.subject | Honeybees | en_US |
dc.title | Modelling of reliable service based operations support system (MORSBOSS) | en_US |
dc.rights.holder | uwc | en_US |