Towards Designing and Implementing an Expert Network To Manage the Computer Communication Networks
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@Article{JICS-2-228,
author = {},
title = {Towards Designing and Implementing an Expert Network To Manage the Computer Communication Networks},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {2},
number = {3},
pages = {228--234},
abstract = { This paper aimed to design and implement a new hybrid intelligent technique called expert
network. The main purpose of this expert network is to use it as a management tool assist network
administrator in his job regarding the monitoring process of network performance. Here, the management
task that uses this expert network was how to detect a fault (i.e. fault detection) that may be occurred on a
certain part of the network either on hardware or software where this fault can affect on the performance of
the computer network as: delay, throughput, utilization. Our proposed expert network depends on using both
feed forward Neural Network and CBR. The Multilayer feed forward NN is used to predict the upcoming or
the next values of the network major parameters (as load, delay, throughput…etc), then this predicted value
will produces a residual signal used for comparing the actual with the desired network parameter. According
to the comparison results, the Expert Network will alter the network administrator with certain alarm if the
difference between the actual and desired network parameter outside a certain range (threshold value,
knowing that this threshold is suggested by the network administrator). Accordingly, the network
administrator begins to take some action towards repairing the fault component. Efficiency of the proposed
expert-network was examined through investigating the time of detecting a fault. This time was too short
relative to the running time of the computer network.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22803.html}
}
TY - JOUR
T1 - Towards Designing and Implementing an Expert Network To Manage the Computer Communication Networks
AU -
JO - Journal of Information and Computing Science
VL - 3
SP - 228
EP - 234
PY - 2024
DA - 2024/01
SN - 2
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22803.html
KW - ES, CBR, ANN, NMS, SNMP and TCP.
AB - This paper aimed to design and implement a new hybrid intelligent technique called expert
network. The main purpose of this expert network is to use it as a management tool assist network
administrator in his job regarding the monitoring process of network performance. Here, the management
task that uses this expert network was how to detect a fault (i.e. fault detection) that may be occurred on a
certain part of the network either on hardware or software where this fault can affect on the performance of
the computer network as: delay, throughput, utilization. Our proposed expert network depends on using both
feed forward Neural Network and CBR. The Multilayer feed forward NN is used to predict the upcoming or
the next values of the network major parameters (as load, delay, throughput…etc), then this predicted value
will produces a residual signal used for comparing the actual with the desired network parameter. According
to the comparison results, the Expert Network will alter the network administrator with certain alarm if the
difference between the actual and desired network parameter outside a certain range (threshold value,
knowing that this threshold is suggested by the network administrator). Accordingly, the network
administrator begins to take some action towards repairing the fault component. Efficiency of the proposed
expert-network was examined through investigating the time of detecting a fault. This time was too short
relative to the running time of the computer network.
. (2024). Towards Designing and Implementing an Expert Network To Manage the Computer Communication Networks.
Journal of Information and Computing Science. 2 (3).
228-234.
doi:
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