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DiffServ node with join minimum cost queue policy and multiclass traffic

机译:具有加入最低成本队列策略和多类流量的DiffServ节点

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摘要

DiffServ, the vehicle for providing relative QoS in the Internet is also easily amenable to simple and effective pricing mechanisms. By pricing access to a relative QoS, we can model a DiffServ node as a 'Join Minimum Cost Queue' in which an arriving customer (packet or connection) determines the relative cost as a function of the congestion in the different queues and their access prices and decides to take service from that queue for which the cost is minimum. The Paris Metro pricing system and its work conserving variant called the Tirupati pricing are analyzed in this paper in the presence of multiclass traffic and for static pricing using an infinite buffer model. Extensive numerical results help describe the behavior of the performance measures like mean queue lengths, revenue rates and customer disutility rates as functions of the various system parameters. Two of the more interesting observations are that the disutility and revenue rate are not monotonic or convex functions of price and the revenue rate is very sensitive to the behavior of the delay sensitive class. We also analyze the finite buffer case and study the loss rate, revenue rate and also the convergence of these performance measures to the infinite buffer values as the buffer sizes increase.
机译:DiffServ,用于在Internet中提供相对QoS的工具,也很容易采用简单有效的定价机制。通过对相对QoS的访问定价,我们可以将DiffServ节点建模为“加入最低成本队列”,在此“到达最低成本队列”中,到达的客户(数据包或连接)根据不同队列中拥塞及其访问价格来确定相对成本。并决定从费用最低的队列中获取服务。本文在存在多类流量和使用无限缓冲模型进行静态定价的情况下,分析了Paris Metro定价系统及其称为Tirupati定价的工作保存变体。大量的数值结果有助于描述性能度量的行为,例如平均队列长度,收益率和客户未使用率等各种系统参数的函数。两个更有趣的观察结果是,效用和收益率不是价格的单调或凸函数,收益率对延迟敏感类的行为非常敏感。我们还分析了有限缓冲区的情况,并研究了丢失率,收益率以及随着缓冲区大小的增加,这些性能指标向无限缓冲区值的收敛。

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