An Effective Load-Balancing Approach for Multicast IPTV Traffic in Multihoming Networks

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Afaf Benaouda Chaht, Mohammed Bencheikh, Chakib Zouaoui, Abdennacer Bounoua, Nasreddine Taleb, Mohamed Naimi
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Abstract

Traditional multicast streams are typically sent using unicast routing plans, which follow a single path or, at best, multiple paths of the same cost. However, this method is not efficient for modern networks with various access points. To improve this, we propose a new approach that combines multipath and multicast streams with a load-balancing model. This method aims to enhance multicast traffic transmission in a multipath environment. Our approach separates the Control Plan (CP) from the User Plan (UP). The CP uses Multipath TCP functions, while the UP handles IPTV (Internet Protocol Television) packets, which can be either TCP or UDP. This separation allows for better load distribution, bandwidth conservation, and balanced traffic across available paths. Real-world tests show that all multicast substreams can be smoothly transferred across the network evenly divided and routed through suitable paths whether symmetrical or asymmetrical scénario. Thus, the results of tests on the main performance and reliability parameters such as bandwidth utilization, cross traffic and delay, prove the algorithm's proactivity and responsiveness to network conditions and validate the effectiveness of our approach. In summary, using multicast in multipath TCP networks improves the streaming experience for end users.

一种有效的多归属网络组播IPTV业务负载均衡方法
传统的多播流通常使用单播路由计划发送,单播路由计划遵循单一路径,或者最多是相同成本的多条路径。但是,对于具有各种接入点的现代网络,这种方法并不有效。为了改进这一点,我们提出了一种将多路径和多播流与负载平衡模型相结合的新方法。该方法旨在提高多路径环境下组播流量的传输能力。我们的方法将控制计划(CP)与用户计划(UP)分开。CP使用Multipath TCP功能,UP处理IPTV (Internet Protocol Television)报文,IPTV可以是TCP也可以是UDP。这种分离允许更好的负载分配、带宽节约和跨可用路径的均衡流量。实际测试表明,无论是对称的还是非对称的,所有多播子流都可以通过适当的路径均匀地在网络中传输和路由。因此,对带宽利用率、交叉流量和时延等主要性能和可靠性参数的测试结果证明了该算法对网络条件的主动性和响应性,验证了该方法的有效性。总之,在多路径TCP网络中使用组播可以改善终端用户的流体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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