|Title:||Bandwidth Optimization Framework for Wide Area Network|
|Other Titles:||The Case of Addis Ababa University|
|Keywords:||Quality of Service;Network Traffic data;Performance Metrics;AAU WAN|
|Publisher:||Addis Ababa University|
|Abstract:||Organizations Wide Area Networks are mostly designed to entertain the needs of several types of users. In the case of academic institution networks, the wide area network is mainly required serve the institutions users in order that it supports the main objective of the institution which is,supporting the teaching and learning process, research process and giving community service purposes. But because of the type of users that the wide area network of academic institutions encompasses, the use of the network resources by the users is highly different from other types of organizations. Academic institutions have a very special type of users, which are students that utilize the network resource in a different way from other organizations. Students mostly abuse network resources for different reasons like entertainment, experiment, to show their creativity by causing cyber-attack on some services in the wide area network or outside. Such type of users always tries to find a way of filling any available bandwidth and always use bandwidth. The act of doing such activities causes unbalanced use of network resources within the network users. This research aims to identify the cause of high bandwidth consumption by using log analysis tools with the view of developing bandwidth optimization framework that will enable the network to provide sustainable quality of service. In order to achieve the objective of this study the researcher have used proxy log analysis by using SAWMILL to identify the internet usage trend of the users. In addition to that measurement of resource utilization at the core layers of different campuses of the institution has been done in order to find a bottleneck factor at the core layer devices. The result of the study showed as there is a great resource abuse by some group of users in the network and as there is an unbalanced resource consumption among users of the network. The research result has shown as more than half of the internet bandwidth is getting consumed by less than 10 percent of the network users. To solve the issues mentioned WAN optimization framework was developed by using quality of service building blocks. In this research we did not incorporate network performance issues at the end devices.|
|Description:||A Thesis Submitted to the College of Natural Sciences of Addis Ababa University in Partial Fulfillment of the Requirements for the Degree of Master of Science in Information Science|
|Appears in Collections:||Thesis - Information Science|
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