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Methodology for analytical, simulation and emulation models to dimensioning IP VPn (Internet protocol - Virtual private networks)

Grant number: 11/17339-5
Support type:Regular Research Grants
Duration: April 01, 2013 - March 31, 2015
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Principal Investigator:Edson Luiz Ursini
Grantee:Edson Luiz Ursini
Home Institution: Faculdade de Tecnologia (FT). Universidade Estadual de Campinas (UNICAMP). Limeira , SP, Brazil
Assoc. researchers:Varese Salvador Timoteo

Abstract

The development of networks for converged services including voice, video and data over the same infrastructure to route traffic for multi-service scenarios, requires proper planning and proper design of such networks. The main network applications can be classified into two major groups of traffic: stream, which have strict requirements of time (eg, VoIP) and elastic, which support an acceptable delay but not loss (eg, FTP, TELNET and HTTP). This paper presents a methodology for dimensioning the service of multiservice IP links with QoS requirements, in which the discrete event simulation is essential (the approximate analytical models are not enough for this purpose). The dimensioning also implies that the QoS requirements and the characteristics of the link (channel) are known. In this paper we propose an extended model for the design that can also be applied to a VPN (Virtual Private Network), in which the unknown characteristics of the link (channel) are obtained by means of emulation. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
URSINI, EDSON L.; MARTINS, PAULO S.; MORAES, REGINA L.; TIMOTEO, VARESE S. n-Steps ahead software reliability prediction using the Kalman filter. Applied Mathematics and Computation, v. 245, p. 116-134, OCT 15 2014. Web of Science Citations: 4.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.