A priority-based queuing model approach using destination parameters for real-time applications on IPv6 networks
Autor: | Sadettin Demir, Ibrahim Ozcelik |
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Přispěvatelé: | Sakarya Üniversitesi, Demir, S, Ozcelik, I, Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilgisayar Mühendisliği Bölümü, Özçelik, İbrahim |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Queueing theory
Voice over IP General Computer Science Computer science business.industry IPv6 Quality of service end-to-end delay Real-time computing End-to-end delay voice over IP flow label video over IP Engineering Quality of service end-to-end delay flow label priority queue IPv6 voice over IP video over IP Electrical and Electronic Engineering business Priority queue priority queue |
Zdroj: | Volume: 28, Issue: 2 727-742 Turkish Journal of Electrical Engineering and Computer Science |
ISSN: | 1300-0632 1303-6203 |
Popis: | In the early days of the Internet architecture, the most important aim is to transmit data over packet switched networks. The traditional Internet architecture used in these networks lacks quality of service. However, today, as realtime applications increase, it is needed. There are approaches to improving the quality of service using the flow label field in the Internet Protocol version 6 header. In this study, a novel algorithm that uses destination network parameters to reduce queuing and end-to-end delay is created. A round-robin-based time-aware priority queue new model is used within this algorithm. Data packets using this proposed queue are prioritized with metric values of the destination network. In order to provide end-to-end service quality, the prioritization value is used by placing it in the flow label field. For this purpose, a new approach to the use of this field is proposed. Delay, one of the most important factors affecting quality of service, is reduced with the proposed algorithm and flow label usage approach. As a result, the reduction in delay times between 22 and 39 ms resulted in various improvement rates between 16.79% and 35.13%. |
Databáze: | OpenAIRE |
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