A Methodology for Traffic Shaping Optimization in Next Generation Networks

Authors

  • Ulisses Cavalca Centro Federal de Educac¸ao Tecnol ˜ ogica de Minas Gerais, Department of Computing, ´ Av Amazonas, 7675, Belo Horizonte, Brazil
  • Caio Mesquita Centro Federal de Educac¸ao Tecnol ˜ ogica de Minas Gerais, Department of Computing, ´ Av Amazonas, 7675, Belo Horizonte, Brazi
  • Adriano C. M. Pereira Universidade Federal de Minas Gerais, Department of Computer Science, Av Antonio Carlos, 6627, Belo Horizonte, Brazil
  • Eduardo G. Carrano Universidade Federal de Minas Gerais, Department of Electrical Engineering, Av Antonio Carlos, 6627, Belo Horizonte, Brazil

Keywords:

QoS optimization, traffic shaping, genetic algorithm, multiobjective optimization,; Next Generation Networks

Abstract

In recent years, computer networks have been characterized by heterogeneous traffic and dynamic management of different kinds of services. The network requirements have increased within time and, since bandwidth is limited, it becomes necessary to employ optimization procedures in order to make the network able to operate in its full capacity. Traffic shaping mechanisms implement Quality of Service (QoS) concepts to ensure acceptable service levels. This paper shows preliminary results of an empirical approach dedicated to perform traffic shaping optimization. Such an approach is based on throughput and packet loss optimization through multiobjective genetic algorithms.

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Published

2014-04-01

How to Cite

Ulisses Cavalca, Caio Mesquita, Adriano C. M. Pereira, & Eduardo G. Carrano. (2014). A Methodology for Traffic Shaping Optimization in Next Generation Networks. International Journal of Computer Information Systems and Industrial Management Applications, 6, 10. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/274

Issue

Section

Original Articles