Monitoring three National Research Networks for Eight Weeks: Observations and Implications

Abstract

Abstract-With the advent of dynamic and elusive distributed applications such as peer-to-peer file sharing systems, network administrators find it increasingly difficult to understand the types of applications running in their networks and the amount of traffic each application produces.In this paper, we present measurement results from the deployment of an accurate traffic characterization application in three National Research and Education Networks for a period of two months. Our observations go beyond traffic distribution; we explore the application usage in terms of active IP addresses, the existence of IP addresses generating massive amounts of traffic, the asymmetry of incoming and outgoing traffic, and the existence of SPAM-sending mail servers.

Characterizing the file hosting ecosystem: A view from the edge

“…From Figure 3(b), we observe a uniform distribution of file hosting traffic during the week with a slight dip occurring on Sunday. These results show a deviation from the usual found Web usage to be diurnal in research and educational networks, though P2P did not exhibit such behaviour [2]. Gill et al found YouTube usage to be diurnal as well and found usage to be lower on weekends [11].…”