Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Tabu Search
Modeling, simulation and measurements of queuing delay under long-tail internet traffic
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Measuring IP and TCP behavior on edge nodes with Tstat
Computer Networks: The International Journal of Computer and Telecommunications Networking
Capacity planning in IP virtual private networks under mixed traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Selected papers from the 3rd international workshop on QoS in multiservice IP networks (QoS-IP 2005)
A design framework towards the profitable operation of service overlay networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficiently constructing candidate set for network topology design
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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The topological design of distributed packet switched networks consists of finding a topology that minimizes the communication costs by taking into account a certain number of constraints such as the end-to-end quality of service (e2e QoS) and the reliability. Our approach is based on the exploration of the solution space using metaheuristic algorithms (GA and TS), where candidate solutions are evaluated by solving CFA problems. We propose a new CFA algorithm, called GWFD, that is capable of assign flow and capacities under e2e QoS constraints. Our proposed approach maps the end-user performance constrains into transport-layer performance constraints first, and then into network-layer performance constraints. A realistic representation of traffic patterns at the network layer is considered as well to design the IP network. Examples of application of the proposed design methodology show the effectiveness of our approach.