UUM Network Traffic Analysis and Users' Website Preferences

The current world is experiencing a revolution in Internet services and networking; a revolution that provided and continues to provide varying features and invaluable tools to computer networks. On the other hand, several problems are being faced by users and global organizations in networking including lack of bandwidth and packet loss during transmission which impacts Internet efficiency and the performance of network. These issues can be rectified through the measurement and analysis of the network’s performance. Moreover, for network performance enhancement, it is imperative to study users’ behaviour. Therefore, the main objectives of the present study are to identify UUM network performance through Internet traffic and to highlight users’ behaviour. A total of three methodological steps are carried out to meet the objectives of the study; the first one is the data collection phase whereby the source for data collection is taken from the presently used main distributed switch in an hour for each working day in a duration of one week; the second one is the data analysis phase where Wireshark is used to provide the statistics of traffic and finally; the third phase is the data presentation where Microsoft Excel is utilized to present data. Study findings presents valuable information of network bandwidth, data loss rates and Ethernet traffic distribution, in addition to the fact that is social websites are the most websites used in UUM. These findings leads to facilitate the enhancement of UUM network performance and Internet bandwidth strategies

Method and system for detecting common attributes of network upgrades

A system and method identify a set of rules for determining a commonality of attributes across different behavior changes for a network. The system performs the method by receiving a set of data correlating network triggers to performance changes of one or more network devices. The set of data further includes an indication of a sign of the performance change for each of the network devices based on the triggers. The method further includes extracting a set of rules relating to a set of relationships between the triggers and the performance changes. The rules identify a commonality of the performance changes for multiple network devices based on the triggers.Board of Regents, University of Texas Syste

From BGP to RTT and Beyond: Matching BGP Routing Changes and Network Delay Variations with an Eye on Traceroute Paths

Many organizations have the mission of assessing the quality of broadband access services offered by Internet Service Providers (ISPs). They deploy network probes that periodically perform network measures towards selected Internet services. By analyzing the data collected by the probes it is often possible to gain a reasonable estimate of the bandwidth made available by the ISP. However, it is much more difficult to use such data to explain who is responsible of the fluctuations of other network qualities. This is especially true for latency, that is fundamental for several nowadays network services. On the other hand, there are many publicly accessible BGP routers that collect the history of routing changes and that are good candidates to be used for understanding if latency fluctuations depend on interdomain routing. In this paper we provide a methodology that, given a probe that is located inside the network of an ISP and that executes latency measures and given a set of publicly accessible BGP routers located inside the same ISP, decides which routers are best candidates (if any) for studying the relationship between variations of network performance recorded by the probe and interdomain routing changes. We validate the methodology with experimental studies based on data gathered by the RIPE NCC, an organization that is well-known to be independent and that publishes both BGP data within the Routing Information Service (RIS) and probe measurement data within the Atlas project