Towards global network positioning
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
King: estimating latency between arbitrary internet end hosts
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Analysis and Comparison of Internet Topology Generators
NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
Internet Topology Modeler Based on Map Sampling
ISCC '02 Proceedings of the Seventh International Symposium on Computers and Communications (ISCC'02)
Vivaldi: a decentralized network coordinate system
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Modelling the Internet Delay Space Based on Geographical Locations
PDP '09 Proceedings of the 2009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing
Modeling the routing of an autonomous system with C-BGP
IEEE Network: The Magazine of Global Internetworking
Time bounds for periodic hypercube gossiping
Proceedings of the 1st International Workshop on Worst-Case Traversal Time
Hi-index | 0.00 |
Abstract The quality of the underlying network model constitutes a pivotal basis for simulating the performance of distributed systems. We present an efficient network model based on measured data and exhibiting realistic network behavior by providing location- and load-dependent latency, jitter and packet loss samples for connections between arbitrary hosts world-wide, which makes it especially well suited for the simulation and evaluation of P2P streaming systems. The model features only linear computation and memory requirements with respect to the number of hosts. It benefits from the finding that network delay/jitter/packet loss can be conveniently divided into a location- and distance-dependent but (from the user's perspective) stateless backbone part and a stateful local Internet access part. The backbone characteristics are modeled using Global Network Positioning (GNP) by embedding all hosts into an n-dimensional delay space and interpolating delays from their distance, before adding regional jitter. The local characteristics are obtained from two queues modeling the send buffers within the local up-link, e.g. DSL modem, and down-link, e.g. broadband remote access server (BRAS). The results show that the simulated delay behavior under varying load much closer approximates real network delay measurements than other models without topology modeling, such as OverSim's Simple-Underlay while still requiring only moderate resources. Both the GNP and the queuing components were integrated into the OMNeT++/INET Framework so that they can be easily used in P2P models.