Mobile hop-by-hop multicast routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
An Efficient Routing Mechanism in Network Simulation
Proceedings of the 20th Workshop on Principles of Advanced and Distributed Simulation
Incremental service deployment using the hop-by-hop multicast routing protocol
IEEE/ACM Transactions on Networking (TON)
Relevance of massively distributed explorations of the internet topology: qualitative results
Computer Networks: The International Journal of Computer and Telecommunications Networking
Sampling large Internet topologies for simulation purposes
Computer Networks: The International Journal of Computer and Telecommunications Networking
Exploring the routing complexity of mobile multicast: a semi-empirical study
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
ZebraX: a model for service composition with multiple QoS constraints
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
An adaptive algorithm for failure recovery during dynamic service composition
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
A hybrid approach to modeling end-to-end delay in P2P networks
Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking
Hi-index | 0.00 |
Creating a network topology is the first step in building a scenario for a network protocol simulation. The simulation results usually depend on the topology layout, especially for routing and multicasting protocols. Therefore the topology used should be generated with the highest possible accuracy. In particular, protocols designed for the Internet should be simulated overInternet-like topologies. Many topology generators currently exist but the recent discovery of power laws in the Internet has brought new constraints upon the generated topologies. We introduce a flexible novel way to create Internet-like topologies. It is based on an algorithmthat performs a sampling on a measured Internet map. The created topologies accurately comply with the newly found power laws as well as other more common topology properties such as the average path length.