Evaluation of IPv6 transition mechanisms using QoS service policies

SMITH, Luke, JACOBI, Mark and AL-KHAYATT, Samir (2018). Evaluation of IPv6 transition mechanisms using QoS service policies. In: 2018 11th International Symposium on Communication Systems, Networks and Digital Signal Processing,, Budapest Hungary, 18-20 July 2018. IEEE.

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Link to published version:: https://doi.org/10.1109/CSNDSP.2018.8471772

Abstract

IPv6 networks are rarely fully IPv6 from end to end particularly when interconnected over other providers core data networks, hence the need for IPv6 transition methods or mechanisms. Previous studies have identified some potential impact on performance where transitions occur. This study considered implementations where Quality of Service (QoS) service policies have been applied in the IPv6 network to determine if the transition mechanisms were able to guarantee the same performance and level of service when the IPv6 traffic transitions over a core IPv4 network. Using a test lab, traffic generators and data capture tools the study was able to fully test the transition mechanisms using data rates and link speeds that replicated equipment and traffic levels used in real world implementations. The study showed that the Quality of Service classes applied were maintained across the transition network providing the service guarantees required for a range of traffic classes. Results indicated that the transition implementations on the devices used (Cisco ISR 4351) translate the QoS settings from IPv6 to IPV4 and vice versa were highly effective and with negligible additional impact on performance occurring due to the additional processing required.

Item Type: Conference or Workshop Item (Paper)
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Identification Number: https://doi.org/10.1109/CSNDSP.2018.8471772
Depositing User: Mark Jacobi
Date Deposited: 07 Jun 2018 11:16
Last Modified: 18 Mar 2021 08:18
URI: https://shura.shu.ac.uk/id/eprint/21519

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