NETWORK PERFORMANCE ANALYSIS OF CLOUD BASED MULTIMEDIA STREAMING SERVICE

S. Kesavan, J. Jayakumar
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引用次数: 9

Abstract

Multimedia streaming is the evergreen technology brings quality on-demand and live media content to the end consumer. Streaming enables the users to view real time multimedia content on-the-go at anywhere, any time. The quality of service is a major concern in the increasing network traffic and high demand in media bit rate streaming. An adaptive streaming technique provides innovation compare to the conventional streaming models by dynamically selecting the media bit rate based on the network variation and processing capability to ensure the best quality of service. However traditional environment streaming service suffers with network delay, low quality performance and high cost. With the aid of Cloud, streaming delivers the content at the edges with very minimal delays on pay-for-use model. In this paper, we focus on the comprehensive analysis of various cloud based streaming methods with underlying architecture and compare the performance of cloud based streaming with conventional streaming model. The experiment results shows that cloud based streaming delivery outperforms in terms of throughput, packet delivery and effective use of the network bandwidth under similar network conditions.
基于云的多媒体流媒体服务网络性能分析
多媒体流媒体是一种常青树的技术,为终端消费者提供高质量的点播和实时媒体内容。流媒体使用户可以随时随地查看实时多媒体内容。在不断增长的网络流量和对媒体比特率流的高需求中,服务质量是一个主要问题。自适应流媒体技术是传统流媒体模型的创新,它根据网络的变化和处理能力动态选择媒体比特率,以保证最佳的服务质量。然而,传统的环境流媒体服务存在网络延迟、性能低、成本高等问题。在云计算的帮助下,流媒体在付费使用模式下以最小的延迟在边缘交付内容。在本文中,我们重点综合分析了各种基于底层架构的基于云的流方法,并将基于云的流与传统流模型的性能进行了比较。实验结果表明,在相似的网络条件下,基于云的流传输在吞吐量、分组传输和有效利用网络带宽方面都优于云。
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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