Empirical Bayesian Network to Improve Service Delivery and Performance Dependability on a Campus Network

Arnold Adimabua Ojugo, Andrew Okonji Eboka


Efficient communication is a result of an effective systemic approach to resource sharing within a network. This has become imperative to aid alternative delivery. With communication properly etched into the very fabric of today’s society via effective integration of informatics and communication technology (ICT), the constant upgrades to existing network infrastructure is only a start to meeting with the ever-increasing challenges. There are various criteria responsible for network performance, scalability, resilience etc. To ensure best practices, we carefully analyse network and select feats or parameters required to improve performance irrespective of bottlenecks, potentials and expansion capabilities that the network infrastructure. Study computes feats via a Bayesian network design alongside upgrades implementation to result in a prototype design, capable of addressing stakeholders’ needs. Thus, to ensure functionality, the experimental network uses known simulation kits such as Riverbed Modeller Edition 17.5 and Cisco Packet Tracer 6.0.1 – to conduct standardized tests such as throughput test, application response-time test, availability test etc.


Bayesian Network; Network Availability; Network Performance; Redundancy; Resilience; Scalability; Throughput

DOI: http://doi.org/10.11591/ijai.v10.i3.pp%25p


  • There are currently no refbacks.

View IJAI Stats

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.