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Fairness of traffic controls for inelastic flows in the Internet

机译:互联网非弹性流量的流量控制的公平性

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In best-effort networks, fairness has been used as a criterion to guide the design of traffic controls. The notion of fairness has evolved over time, from simple equality to a form of equality modulated by the user's need (e.g. max-min and proportional fairness). However, fairness has always been defined on a per-user basis for a deterministic workload. In this paper, we argue that we must redefine the notion of fairness when we study traffic controls for the co-existence of elastic and inelastic traffics. Our results indicate that subjecting inelastic flows to fairness congestion control on a per-flow basis does not necessarily maximize the network's utility. Instead, inelastic flows may follow their own form of traffic control, such as admission control (without congestion control). At the aggregate level, our results indicate that it still makes sense to maintain a balance between elastic and inelastic traffic. In order to support our arguments, we develop a methodology for comparing different traffic controls for given utility functions and different workloads, both deterministic and stochastic.
机译:在尽力而为网络中,公平已被用作指导交通控制设计的标准。公平的概念已经随着时间的推移而发展,从简单的平等到根据用户需求调节的平等形式(例如,最大-最小和比例公平)。但是,对于确定性工作负载,始终根据每个用户定义公平性。在本文中,我们认为,在研究交通控制以实现弹性和非弹性交通的共存时,必须重新定义公平的概念。我们的结果表明,对非弹性流按流进行公平性拥塞控制并不一定会最大化网络的效用。取而代之的是,非弹性流可以遵循其自身的流量控制形式,例如准入控制(无拥塞控制)。从总体上看,我们的结果表明,保持弹性和非弹性交通之间的平衡仍然有意义。为了支持我们的论点,我们开发了一种方法,用于比较确定性和随机性的给定实用程序功能和不同工作负载的不同流量控制。

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