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Guaranteed Throughput in Work-Conserving Flow Aggregation Through Deadline Reuse

机译:通过截止日期重用保证工作节约流量聚合的吞吐量

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The Internet traditionally provides best effort service to all applications. While elastic applications are satisfied by this service, inelastic applications such as interactive audio and video suffer from end-to-end delay guarantees. Although Guaranteed Rate schedulers were developed to provide such guarantees, their scalability has been a concern because they maintain per-flow state. In an effort to reduce per-flow state, two methods have been proposed: stateless core networks and flow aggregation. Stateless core networks require no per-flow state at the routers, while flow aggregation maintains state for a small number of aggregate flows. Although flow aggregation maintains more state, it provides a lower end-to-end delay bound than stateless core networks. The original proposals of these two techniques did not provide guaranteed throughput, that is, flows could be temporarily denied service if they exceeded their reserved rates at earlier times. Recently, guaranteed throughput has been incorporated into the stateless core model through the reuse of deadlines. This is similar to the deadline reuse found in earlier stateful protocols that provide guaranteed throughput. In this paper, we propose adding deadline reuse to flow aggregation networks. In this way, guaranteed throughput can be achieved while maintaining a lower end-to-end delay bound. In addition, we revise the deadline reuse method for stateless core networks.
机译:互联网传统上为所有应用提供了最佳努力服务。虽然这项服务满足弹性应用,但诸如交互式音频和视频等的无弹性应用遭受端到端的延迟保证。尽管制定了保证率调度员以提供此类保证,但它们的可扩展性是一个关注的担忧,因为它们保持了每流动状态。为了减少每个流状态,已经提出了两种方法:无状态核心网络和流量聚合。无状态核心网络在路由器处不需要每个流状态,而流量聚合保持少量聚合流的状态。虽然流量聚合保持了更多状态,但它提供比无状态核心网络的较低端到端延迟。这两种技术的原始提案没有提供保证的吞吐量,即,如果在早期超过其预订率,则可以暂时拒绝服务。最近,通过重用截止日期,保证吞吐量已被纳入无状态核心模型。这类似于在提供保证吞吐量的早期状态协议中找到的截止日期重用。在本文中,我们建议将截止日期重用添加到流量聚合网络。以这种方式,可以在保持下端到最终延迟绑定的同时实现保证吞吐量。此外,我们修改无状态核心网络的截止日期重用方法。

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