Planned intervention: On Thursday 19/09 between 05:30-06:30 (UTC), Zenodo will be unavailable because of a scheduled upgrade in our storage cluster.

There is a newer version of the record available.

Published January 27, 2021 | Version v1
Conference paper Open

BAMSim Simulator

  • 1. Salvador University - UNIFACS

Description

Resource allocation is an essential design aspect for current systems and bandwidth allocation is an essential design aspect in multi-protocol label switched and OpenFlow/SDN network infrastructures. The bandwidth allocation models (BAMs) are an alternative to allocate and share bandwidth among network users. BAMs have an extensive number of parameters that need to be defined and tuned to achieve an expected network performance. This paper presents the BAMSim simulator to support the network manager decision process in choosing a set of BAM configuration parameters for network design or during network operation.

Dateien

Paper_ADVANCE_2021___SHORT_PAPER___BAMSIM___Rafael (1).pdf

Files (190.2 kB)

Additional details

References

  • D. Adami, C. Callegari, S. Giordano, and M. Pagano. A New NS2 Simulation Module for Bandwidth Constraints Models in DS-TE Networks. In IEEE ICC, pages 251–255, May 2008.
  • F L Faucher and W Lai. Maximum Allocation Bandwidth Constraints Model for DiffServ-aware MPLS Traffic Engineering. Technical Report RFC 4125, June 2005.
  • Le Faucheur, J. Boyle, T. Nadeau, and D. Skalecki. Russian Dolls Bandwidth Constraints Model for Diffserv-aware MPLS Traffic Engineering. Technical Report RFC 4127, 2005.
  • Y. Li, X. Su, A. Ding, A. Lindgren, X. Liu, C. Prehofer, and P. Hui. Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology. Sensors, 20(12), 2020.
  • Jianhui Liu and Qi Zhang. Computation Resource Allocation for Heterogeneous Time-Critical IoT Services in MEC. IEEE Wireless Communications and Networking Conference, February 2020.
  • Joberto Martins, Romildo Bezerra, Rafael Reale, and Gilvan Durães. Uma Visão Tutorial dos Modelos de Alocação de Banda como Mecanismo de Provisionamento de Recursos em Redes IP/MPLS. Revista de Sistemas e Computação, 5(2):144–155, December 2015.
  • E. Oliveira, R. Reale, and J. Martins. Cognitive Management of Bandwidth Allocation Models with Case-Based Reasoning - Evidences Towards Dynamic BAM Reconfiguration. In Proceedings of the IEEE Symposium on Computers and Communications, pages 397–403, June 2018.
  • Rafael Reale, Romildo Bezerra, and Joberto Martins. G-BAM: A Generalized Bandwidth Allocation Model for IP/MPLS/DS-TE Networks. International Journal of Computer Information Systems and Industrial Management Applications, 6:635–643, 2014.
  • Rafael Reale, Romildo Bezerra, and Joberto S. B. Martins. Applying Autonomy with Bandwidth Allocation Models. International Journal of Communication Systems, 29(13):2028–2040, 2016.
  • Rafael Reale, Walter Neto, and Joberto Martins. AllocTC-sharing: A New Bandwidth Allocation Model for DS-TE Networks. In Proc. of the 7th Latin American Network Operations and Management Symposium, pages 1–4, October 2011.
  • Rafael Freitas Reale, Romildo Martins Bezerra, and Joberto S. B. Martins. Analysis of Bandwidth Allocation Models Reconfiguration Impacts. In Proceedings of the III International Workshop on ICT Infrastructures and Services (ADVANCE), pages 67–76, 2014.

Subjects

Networking and Internet Architecture
arXiv:1807.02173