Internet Backbone Network Traffic in Sudan
Internet Backbone Network Traffic in Sudan
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Date
2015-04-26
Authors
Osman, Hiba Mohammed
Journal Title
Journal ISSN
Volume Title
Publisher
UOFK
Abstract
The growing demand of Internet service in Sudan makes it important to have accurate
traffic statistics in order to help in the planning and provision of Internet links. This thesis
presents statistics of the Internet traffic for Users connected through the public frame relay
network .It also presents some observations that may help in improvement of the service to be
of a better quality and affordable cost.
Measurements and statistics in this research showed that most of the Internet users are
concentrated in Khartoum center and Khartoum south areas, and are allocated percentages of
the total bandwidth between 43% for users in Khartoum center area and 37% for users in
Khartoum south area. Statistics of bandwidth distribution per user category showed that 42.9
% of the bandwidth is allocated to Service providers. Statistics of the daily traffic variations
showed that the Overall traffic has its peak hour at 2 pm and drops to its minimum at 6 a.m. it
also showed that the mean of traffic intensity is twice its standard deviation and the variance
is very high if related to the mean. Per weekday analysis of the traffic showed that the average
traffic utilization per weekday for the aggregate links maintains the same level with slight
drop on Fridays. From the study of traffic variations per user category it is observed that
traffic generated by local service providers has a great impact on the overall traffic pattern.
The percentage of traffic uploaded and downloaded by each of the international links implies
that the routing policy used to load share the upload traffic between the international links
resulted in an equal load sharing. And that the shortest path of 18 % of downloads traffic is
through Emirate link. A straight line with a slope of 0.5 can represent the relation between
download and upload traffic for aggregate links. The packet arrival model of the aggregate
links do not follow Poisson distribution, and is proved to be self similar .The queuing delay
increased sharply for utilization values greater than 55%, and maintains the same level for
utilization values less than 53%
Description
52page
Keywords
Internet,Backbone,Network,Traffic,Sudan