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Simulation Study for the Performance Impacts of Video Multicast Caused by In-Cast in Cloud Computing Environment

机译:在云计算环境中铸造群体多播绩效影响的仿真研究

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摘要

Cloud computing is becoming one of the most convenient ways for information services through network accesses. In this paper, we describe the architecture of cloud computing and discuss the issue of in-cast, which may downgrade the transmission performance when the number of simultaneous transmission servers is getting larger. The in-cast transmission may introduce the out of sequence of packet delivery and may reduce the system throughput. This paper constructs the software environment to simulate the performance of video streaming services delivered by the servers in cloud. We first examine the performance of the out of sequence issue of packet transmission when the Hashed Credit Fair (HCF) algorithm was applied and investigate the multicast performance of video streaming service with respect to the numbers of servers. With the increasing of the number of servers, we note that transmission performance is not improved, on the contrary, the system throughput downgrades sharply. We believe the simulation results of this paper will be helpful for the design of cloud video multicast services.
机译:云计算正在成为通过网络访问的信息服务最方便的方法之一。在本文中,我们描述了云计算的体系结构,并讨论了在铸造的问题上,这可能会使传输性能降级,当同时传输服务器变大时。铸造传输可以引入超出分组传送的序列,并且可以降低系统吞吐量。本文构造了软件环境,以模拟云中服务器提供的视频流服务的性能。我们首先检查应用散列信用展(HCF)算法的数据包传输序列发行的性能,并研究视频流服务与服务器数量的视频流服务的多播性能。随着服务器数量的增加,我们注意到,相反,传输性能没有得到改善,并持续下降。我们认为本文的仿真结果将有助于云视频组播服务的设计。

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