Data networks (2nd ed.)
On the cost of virtual private networks
IEEE/ACM Transactions on Networking (TON)
Multiservice Loss Models for Broadband Telecommunication Networks
Multiservice Loss Models for Broadband Telecommunication Networks
Algorithms for provisioning virtual private networks in the hose model
IEEE/ACM Transactions on Networking (TON)
Resource management with hoses: point-to-cloud services for virtual private networks
IEEE/ACM Transactions on Networking (TON)
Edge Provisioning and Fairness in VPN-DiffServ Networks
Journal of Network and Systems Management
The Latest in Virtual Private Networks: Part I
IEEE Internet Computing
IEEE Internet Computing
Scalability implications of virtual private networks
IEEE Communications Magazine
Toward IP virtual private network quality of service: a service provider perspective
IEEE Communications Magazine
Guest editorial: Standards for virtual private networks
IEEE Communications Magazine
Layer 2 and 3 virtual private networks: taxonomy, technology, and standardization efforts
IEEE Communications Magazine
Support for resource-assured and dynamic virtual private networks
IEEE Journal on Selected Areas in Communications
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)
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)
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The planning of a Virtual Private Network, carrying both Quality of Service (QoS) and Best-Effort (BE) traffic is considered in the paper, and a hybrid analytical/simulation tool for link bandwidth allocation is proposed and tested. The tool works in three phases, related to assessing the capacities needed to satisfy requirements for QoS and BE traffic individually, and to take into account the effects of multiplexing gains arising from traffic mixing, respectively. The analytical part is based on a simplified version of call-level (circuit-switched) traffic models; the simulation model is a fast one, based on a fluid representation of TCP traffic aggregates. The tool is tested both on simple networks and on a more complex real national backbone.