论文标题
通过网络内内容适应控制拥塞
Controlling Congestion via In-Network Content Adaptation
论文作者
论文摘要
意识到本质上很难将Endhost的发送率与动态蜂窝链路上的可用容量进行准确匹配，我们构建了一个系统，章鱼，该系统使用不精确的控制器在蜂窝网络上发送实时数据流（在过高的网络容量的侧面发生错误），然后将适当的数据包丢弃在蜂窝网络上的实际能力中，以匹配实际的实际能力。我们设计了用于实现数据包删除逻辑的参数化基础，Endhost的应用程序可以采用不同的配置以表达不同的内容适应策略。章鱼传输编码数据包标头字段中的APP指定参数，路由器分析以执行所需的掉落行为。我们的评估表明，涉及标准和体积视频的实时应用程序是如何设计用于利用章鱼的，并且实现的性能是最先进的方案的1.5-50倍。
Realizing that it is inherently difficult to precisely match the sending rates at the endhost with the available capacity on dynamic cellular links, we build a system, Octopus, that sends real-time data streams over cellular networks using an imprecise controller (that errs on the side of over-estimating network capacity), and then drops appropriate packets in the cellular network buffers to match the actual capacity. We design parameterized primitives for implementing the packet dropping logic, that the applications at the endhost can configure differently to express different content adaptation policies. Octopus transport encodes the app-specified parameters in packet header fields, which the routers parse to execute the desired dropping behavior. Our evaluation shows how real-time applications involving standard and volumetric videos can be designed to exploit Octopus, and achieve 1.5-50 times better performance than state-of-the-art schemes.
