A new mechanism for capacity planning of a Virtual Private Network, carrying both Quality of Service (QoS) and Best- Effort (BE) IP traffic is introduced. The link bandwidth allocation in the network is based on a hybrid combination of analytical and simulation models. The allocation tool works in three phases: phase 1 and 2 deal with the assessment of the capacities needed to satisfy requirements for QoS and BE traffic individually; the effects of multiplexing gains arising from traffic mixing are taken into account in phase 3. There are two analytical parts, based on a simplified version of calllevel traffic models, derived from teletraffic theory of circuit-switched networks, and on an algorithmic procedure to compute the distribution of average values of BE traffic flows, respectively. The same algorithm is used inside a fast simulation model, adopting a fluid representation of TCP traffic aggregates. The tool is tested both on simple networks and on a more complex real national backbone.

Capacity planning in IP Virtual Private Networks under mixed traffic

BOLLA, RAFFAELE;BRUSCHI R.;DAVOLI, FRANCO
2006-01-01

Abstract

A new mechanism for capacity planning of a Virtual Private Network, carrying both Quality of Service (QoS) and Best- Effort (BE) IP traffic is introduced. The link bandwidth allocation in the network is based on a hybrid combination of analytical and simulation models. The allocation tool works in three phases: phase 1 and 2 deal with the assessment of the capacities needed to satisfy requirements for QoS and BE traffic individually; the effects of multiplexing gains arising from traffic mixing are taken into account in phase 3. There are two analytical parts, based on a simplified version of calllevel traffic models, derived from teletraffic theory of circuit-switched networks, and on an algorithmic procedure to compute the distribution of average values of BE traffic flows, respectively. The same algorithm is used inside a fast simulation model, adopting a fluid representation of TCP traffic aggregates. The tool is tested both on simple networks and on a more complex real national backbone.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/250688
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