Proactive Model for Communication Network Maintenance - Olajubu, Emmanuel
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Predictive maintenance will be an essential feature of any communication outfit that will be successful in this competitive modern ubiquitous network. Such company must be able to plan better for the future, and be proactive in its maintenance and repair operations. Until recently, most network maintenance operations relied mainly on the knowledge and expertise of human operator that are not easy to come by. Most equipment failures give some warnings before they actually occur. What network communication administrator needs is a way to head off a catastrophic failure before it has a chance to…mehr

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Produktbeschreibung
Predictive maintenance will be an essential feature of any communication outfit that will be successful in this competitive modern ubiquitous network. Such company must be able to plan better for the future, and be proactive in its maintenance and repair operations. Until recently, most network maintenance operations relied mainly on the knowledge and expertise of human operator that are not easy to come by. Most equipment failures give some warnings before they actually occur. What network communication administrator needs is a way to head off a catastrophic failure before it has a chance to happen. The solution lies in a technology called Predictive Condition Monitoring (PCM). Thus, this book described the use of Lightweight Agents for network elements status information collection, so that a proactive active maintenance can be scheduled on communication network. The use of LWAs was justified. A Fuzzy logic model was designed to analyze the status information of the network element. Based on the analysis, network maintenance can be scheduled.
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Autorenporträt
E. A. Olajubu (Ph.D.) graduated from Department of Computer Science & Engineering, Obafemi Awolowo University. He has a number of published articles in reputable journals. His research interest includes Computer Communication, Mobile Agent Systems and Soft Computing.