Beyond folklore: observations on fragmented traffic
IEEE/ACM Transactions on Networking (TON)
Long-Range Dependence: Ten Years of Internet Traffic Modeling
IEEE Internet Computing
Transport layer identification of P2P traffic
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
OC3MON: Flexible, Affordable, High Performance Staistics Collection
LISA '96 Proceedings of the 10th USENIX conference on System administration
The impact of residential broadband traffic on Japanese ISP backbones
ACM SIGCOMM Computer Communication Review
BLINC: multilevel traffic classification in the dark
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
A markovian signature-based approach to IP traffic classification
Proceedings of the 3rd annual ACM workshop on Mining network data
Analysis of internet backbone traffic and header anomalies observed
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Early application identification
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
An architecture for large scale Internet measurement
IEEE Communications Magazine
Measurement and analysis of IP network usage and behavior
IEEE Communications Magazine
Understanding Internet traffic streams: dragonflies and tortoises
IEEE Communications Magazine
Wide-area Internet traffic patterns and characteristics
IEEE Network: The Magazine of Global Internetworking
Packet-level traffic measurements from the Sprint IP backbone
IEEE Network: The Magazine of Global Internetworking
Energy Savings in Wireless Mesh Networks in a Time-Variable Context
Mobile Networks and Applications
Joint design and management of energy-aware Mesh Networks
Ad Hoc Networks
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Internet traffic measurements and traffic characterization are essential for managing and optimizing network infrastructures. The increasing number of wireless Internet users and the changing application demands require consecutive traffic measurements. Therefore, we have performed measurements of home users at a broadband wireless access service provider in order to reflect the current traffic characteristics. In this paper, we present the results of these measurements like application distributions as well as changing traffic characteristics caused by user demands and new services. The results could be used by a network service provider to optimize its network performance in order to give Quality of Service (QoS) guarantees for home users in its fixed wireless network.