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[ "廖志文(1985- ),女,华南理工大学博士生,主要研究方向为计算机网络管理、视频会议服务质量保障、软件定义网络。" ]
[ "张凌(1962- ),男,华南理工大学教授、博士生导师,主要研究方向为计算机网络系统管理与网络安全、下一代高性能计算机网络、计算机海量信息处理与电子商务技术等。" ]
网络出版日期:2019-07,
纸质出版日期:2019-07-20
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廖志文, 张凌. 企业级视频会议动态时间槽多播带宽提前预留算法[J]. 电信科学, 2019,35(7):78-86.
Zhiwen LIAO, Ling ZHANG. A dynamic timeslot-based multicast bandwidth advance reservation algorithm for enterprise video conferencing systems[J]. Telecommunications science, 2019, 35(7): 78-86.
廖志文, 张凌. 企业级视频会议动态时间槽多播带宽提前预留算法[J]. 电信科学, 2019,35(7):78-86. DOI: 10.11959/j.issn.1000-0801.2019148.
Zhiwen LIAO, Ling ZHANG. A dynamic timeslot-based multicast bandwidth advance reservation algorithm for enterprise video conferencing systems[J]. Telecommunications science, 2019, 35(7): 78-86. DOI: 10.11959/j.issn.1000-0801.2019148.
为了保证视频会议的服务质量和提高企业网络资源利用率,研究了企业级视频会议系统带宽提前预留问题。在企业级网络中经常出现同时在线会议数量多达数百个量级的情况,而且任意两个会议成员之间都有可能视频通信。为会议提前预留带宽将导致未来可用带宽随时间而呈细粒度变化,特别是同时出现大量会议请求时,时间开销和带宽使用将大幅度增长。为解决此问题,提出了动态时间槽多播带宽提前预留算法。该算法综合考虑了IETF XCON工作小组提出的两种不同会议场景。仿真结果表明,相比其他算法,该算法能够有效地给大数据会议申请预留带宽,解决时间开销瓶颈问题。
In order to guarantee the service quality of video conferencing and improve the utilization of enterprise network resources
the problem of bandwidth advance reservation for enterprise video conferencing system was studied. In an enterprise network
there could be hundreds of conferences held at the same time
and video communication was possible between any two participants. Reserving bandwidth resources in advance for a conference would result in fine-grained changes in available bandwidth over time. In particular
when a large number of conference requests occur at the same time
time consumption and bandwidth usage would increase significantly. To address this problem
a dynamic timeslot-based multicast bandwidth advance reservation algorithm was proposed. The algorithm also took into account the two conference scenarios proposed by the IETF XCON working group. The simulation results show that compared with other algorithms
the algorithm can effectively reserve bandwidth for big data conferences and solve the problem of time overhead bottleneck.
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