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An online learning based path selection for multipath real‐time video transmission in overlay network
Transactions on Emerging Telecommunications Technologies ( IF 3.6 ) Pub Date : 2020-10-05 , DOI: 10.1002/ett.4131
Songyang Zhang 1 , Weimin Lei 1, 2 , Wei Zhang 1 , Yuzhuo Zhan 1 , Hao Li 1
Affiliation  

Even video telephony services have been pervasively applied, it is still a challenge to provide satisfactory quality of experience to users. Multipath transmission is a promising solution to improve video transmission quality by providing aggregated bandwidth. Due to varied traffic load, the default paths may fall into long lasting congestion. Sender has no choice but to reduce video bitrate to adapt such change, even in multipath transmission scenario. Insisting previous rate may lead the congestion in bottleneck deteriorate further. Deploying relay servers in current Internet infrastructure provides users with alternatives to bypass path failure and congestion. For such transmission scenario for video telephony service, an arising question is how to select paths dynamically to gain maximum profit. The path selection is mapped to the multi‐armed bandit problem. Tradeoff is made between exploration and exploitation to make decision under uncertain environment. The estimated bandwidth provided by congestion controller is used for decision‐making. Further, to make multiple flows share resource fairly and avoid congestion, an algorithm adapted from BBR is implemented for video telephony service. To maintain throughput stability and fairness, a smaller probe up gain value is used and the cycle length in bandwidth probe phase is randomized. To reduce delay, the inflight packets will be drained to match with bandwidth delay product in the probe down phase. The effectiveness of the proposed solution is verify on simulation platform.

中文翻译:

基于在线学习的路径选择,用于覆盖网络中的多路径实时视频传输

即使视频电话服务已被广泛应用,向用户提供令人满意的体验质量仍然是一个挑战。多径传输是通过提供聚合带宽来提高视频传输质量的有前途的解决方案。由于流量负载的变化,默认路径可能会陷入长期的拥塞状态。发送器别无选择,只能降低视频比特率以适应这种变化,即使在多路径传输情况下也是如此。坚持以前的速度可能导致瓶颈的拥塞进一步恶化。在当前的Internet基础结构中部署中继服务器为用户提供了替代方法来绕过路径故障和拥塞。对于这种用于视频电话服务的传输方案,一个出现的问题是如何动态选择路径以获得最大利润。路径选择被映射到多臂匪问题。在不确定的环境下,要在勘探与开发之间进行权衡以做出决策。拥塞控制器提供的估计带宽用于决策。此外,为了使多个流公平地共享资源并避免拥塞,针对视频电话服务实施了一种基于BBR的算法。为了保持吞吐量的稳定性和公平性,使用较小的探测增益值,并且将带宽探测阶段的周期长度随机化。为了减少延迟,机载数据包将被排空,以与探测下降阶段的带宽延迟乘积相匹配。仿真平台验证了所提方案的有效性。拥塞控制器提供的估计带宽用于决策。此外,为了使多个流公平地共享资源并避免拥塞,针对视频电话服务实施了一种基于BBR的算法。为了保持吞吐量的稳定性和公平性,使用较小的探测增益值,并且将带宽探测阶段的周期长度随机化。为了减少延迟,机载数据包将被排空,以与探测下降阶段的带宽延迟乘积相匹配。仿真平台验证了所提方案的有效性。拥塞控制器提供的估计带宽用于决策。此外,为了使多个流公平地共享资源并避免拥塞,针对视频电话服务实施了一种基于BBR的算法。为了保持吞吐量的稳定性和公平性,使用较小的探测增益值,并且将带宽探测阶段的周期长度随机化。为了减少延迟,机载数据包将被排空,以与探测下降阶段的带宽延迟乘积相匹配。仿真平台验证了所提方案的有效性。使用较小的上探增益值,并且带宽探查阶段的周期长度是随机的。为了减少延迟,机载数据包将被排空,以与探测下降阶段的带宽延迟乘积相匹配。仿真平台验证了所提方案的有效性。使用较小的上探增益值,并且带宽探查阶段的周期长度是随机的。为了减少延迟,机载数据包将被排空,以与探测下降阶段的带宽延迟乘积相匹配。仿真平台验证了所提方案的有效性。
更新日期:2020-11-05
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