Developing Dynamic Bandwidth Allocation Prototype Model for Campus Network Based on Network Traffic Analysis
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Date
2012-01
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Addis Ababa University
Abstract
Enterprise or campus networks usually impose a set of rules for users to access the network in order to protect network resources and enforce institutional policies (for instance, no sharing of music files or no gaming). This leaves network administrators with the daunting task of identifying the application associated with a traffic flow as early as possible and controlling user’s traffic when needed. Therefore, accurate and early network traffic analysis is an essential step for administrators to detect intrusion, malicious attacks, or forbidden applications. Hence, bandwidth management based on network traffic flow analysis is a researchable area which gives the owner of the research with lots of opportunity to assess the network behaviors. In this work protocol distribution and network traffic load analysis are conducted on different links based on real data. Besides, it is tried to assess the potential application of ntop for measuring the global protocol distribution based on the real data. Moreover, the ingoing and outgoing traffic load is analyzed using MRTG which is a versatile tool for graphing network data and it can run on a Web server. Every five minutes, it reads the inbound and outbound octet counter of the gateway router, and then logs the data to generate daily, weekly, monthly and yearly graphs for web pages. Weblog analysis consists in measuring the usage of relevant traffic activities. Weblog expert tracks web server log file, generating a series of statistics for each host, for operating system, for each browser, for each visitor and soon in the Mekele University (MU) inter campus network as a whole. Based on the traffic analysis at different links and web server of MU, a dynamic bandwidth allocator algorithm is proposed which consists of modules such as administration tool, which provides a graphical interface for configuring bandwidth allocation based on the different bandwidth demand in the intercampus network; policy agent, which implements the configuration and handles communication with the kernel module; kernel module, which implements the packet classifier, packet selector, bandwidth estimator, unique IP address counter, Host DBA and timer.
Keywords: network traffic, Dynamic Bandwidth Allocation, Bandwidth Management.
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Prototype Model for Campus Network Based