Influence of Self-Similar Traffic Type on Performance of QoS Routing Algorithms

Author:

Czarkowski Michał,Kaczmarek Sylwester,Wolff Maciej

Abstract

Abstract Providing a Quality of Services (QoS) into current telecommunication networks based on packet technology is a big challenge nowadays. Network operators have to support a number of new services like voice or video which generate new type of traffic. This traffic serviced with QoS in consequence requires access to appropriate network resources. Additionally, new traffic type is mixed with older one, like best-effort. Analysis of these new and mixed traffic types shows that this traffic is self-similar. Network mechanisms used for delivery of quality of services may depend on traffic type especially from the performance point of view. This paper presents a feasibility study done into the effect of traffic type influence on performance of routing algorithm while the routing algorithm is treated as one of the mechanisms to support QoS in the network.

Publisher

Walter de Gruyter GmbH

Reference4 articles.

1. Fractal analysis and modeling of VoIP traffic in Proceedings of Telecommunications Network Strategy and Planning Symposium;Dang;NETWORKS,2004

2. A View of Telecommunications Network Evolution Communications Magazine vol;Sayed;IEEE,2002

3. The Impact of self - similarity Network traffic on quality of services ( QoS ) of Telecommunication Network of IT Engineering and Applied Sciences Research IJIEASR vol;Acharya;International Journal,2013

4. Dynamic Unattended Measurement Based Routing Algorithm for DiffServ Architecture in Proceedings of Telecommunications Network Strategy and Planning Symposium;Czarkowski;NETWORKS,2010

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of QoS Methods in the Information Networks with Fractal Traffic;International Journal of Electronics and Telecommunications;2023-07-26

2. Optimising Self-Similarity Network Traffic for Better Performance;International Journal of Scientific Research in Science and Technology;2020-08-05

3. The Methods to Improve Quality of Service by Accounting Secure Parameters;Advances in Computer Science for Engineering and Education II;2019-03-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3