A Bayesian framework-based end-to-end packet loss prediction in IP networks
A Bayesian framework-based end-to-end packet loss prediction in IP networks
复制标题
IP网络中基于贝叶斯框架的端到端丢包预测
DOI：
10.1109/mmse.2004.1
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
I. Gu
中科院分区：
文献类型：
--
作者：
Andrew G. Backhouse;I. Gu
网络路径中的信道建模在设计延迟敏感的应用中具有重要意义。由于延迟限制，这些应用程序通常不可能对数据包进行加密，因此它们必须对数据包丢失具有弹性。在本文中，我们首先建立了一个在网络网关的流量延迟和队列大小之间的关联。然后，提出了一种新的方法来预测数据包丢失，这是基于数据包丢失和在传输过程中观察到的端到端的时间延迟的变化之间的相关性。我们表明，这使得有可能预测数据包丢失发生之前。然后，可以动态地调整多媒体流的传输以考虑预测的丢失。结果，可以为通过动态网络信道传输的多媒体流提供更好的差错恢复能力。这意味着它们可以在相同的网络预算约束下提供改进的传输质量。实验结果表明，该方法可以提供更平滑、更可靠的数据传输。
Channel modelling in a network path is of major importance in designing delay sensitive applications. It is often not possible for these applications to retransmit packets due to delay constraints and they must therefore be resilient to packet losses. In this paper, we first establish an association between traffic delays and the queue size at a network gateway. A novel method for predicting packet losses is then proposed that is based on the correlation between the packet losses and the variations in the end-to-end time delay observed during transmission. We show that this makes it possible to predict packet losses before they occur. The transmission of multimedia streams can then be dynamically adjusted to account for the predicted losses. As a result, better error-resilience can be provided for multimedia streams transmitting through a dynamic network channel. This means that they can provide an improved quality of transmission under the same network budget constraint. Experiments have been performed and preliminary results have shown that the method can provide a much smoother and more reliable transmission of data.