An analysis of the correlation beween packet loss and network delay on the perfomance of congested networks and their impact: case study University of Fort Hare

In this paper we study packet delay and loss rate at the University of Fort Hare network. The focus of this paper is to evaluate the information derived from a multipoint measurement of, University of Fort Hare network which will be collected for a duration of three Months during June 2011 to August 2011 at the TSC uplink and Ethernet hubs outside and inside relative to the Internet firewall host. The specific value of this data set lies in the end to end instrumentation of all devices operating at the packet level, combined with the duration of observation. We will provide measures for the normal day−to−day operation of the University of fort hare network both at off-peak and during peak hours. We expect to show the impact of delay and loss rate at the University of Fort Hare network. The data set will include a number of areas, where service quality (delay and packet loss) is extreme, moderate, good and we will examine the causes and impacts on network users

Scalable integrated performance analysis of multi-gigabit networks

Monitoring and managing multi-gigabit networks requires dynamic adaptation to end-to-end performance characteristics. This paper presents a measurement collection and analysis frame-work that automates the troubleshooting of end-to-end network bottlenecks. We integrate real-time host, application, and network measurements with a common representation (compatible with perfSONAR) within a flexible and scalable architecture. Our measurement architecture is supported by a light-weight eX-tensible Session Protocol (XSP), which enables context-sensitive adaptive measurement collection. We evaluate the ability of our system to analyze and detect bottleneck conditions over a series of high-speed and I/O intensive bulk data transfer experiments and find that the overhead of the system is very low and that we are able to detect and understand a variety of bottlenecks. I