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The Application of a Socio-Economic Indicator for Calculating the Bandwidth of a Backbone in a WAN
Abstract
In a regional network, the graph branches that describe it are not loaded equally with data traffic. A branch that is loaded with traffic will depend on: the number of users in both nodes of the graph, the number of paths that pass through that branch which are defined by the algorithm for finding the shortest path, the position of the branch in the network as well as the position of WAN in other neighbors’ networks. The traffic on the branches that connect the nodes of a network is constantly changing. It is important to know the maximum load of a branch in order to adapt to the demand so that there are no communication barriers. The calculation of data traffic in these branches is possible to be calculated and to know the maximum traffic limit in the respective branches. The branches that are busiest with data traffic represent the backbone of the Network. The calculation of the bandwidth of the branch is affected not only by the number of users but also by their structure. In this paper, bandwidth calculation on a main branch in a graph is done through a case study using SEI.
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