将CAPC与加权交通调度相结合,实现高质量的ABR交通控制

Jun Lu, N. Mir
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引用次数: 1

摘要

经典的最大最小公平费率分配方法不支持加权费率保证。加权速率保证是可用比特率(ABR)业务模型所必需的。这一事实激发了ABR流量加权最大最小公平命运分配的广泛研究。然而,将闭环反馈控制与WMM算法相结合的研究在以往的研究中尚未出现。本文提出了一种实用的WMM公平费率分配模型。该调度方案结合并集成了使用比例控制(CAPC)和加权最大最小公平率分配的拥塞避免。在分析系统中,引入了一种新的加权交通调度方法。该模型旨在实现ABR交通流控制的高利用率和有界延迟。
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Combining CAPC and weighted traffic scheduling to achieve high quality ABR traffic control
The classical method of max-min fair-rate allocation doesn't support the weighted-rate guarantee. The weighted-rate guarantee is necessary to available-bit rate (ABR) service models. This fact has motivated the wide study of weighted max-min (WMM) fair-fate allocation for ABR traffic. However, the combination of close-loop feedback control with the WMM algorithm has not appeared in the previous research. In this paper, a practical WMM fair-rate allocation model is proposed. This scheduling scheme combines and integrates congestion avoidance using proportional control (CAPC) and weighted max-min fair-rate allocation. In the system under analysis, a new weighted traffic scheduler is introduced. This model is designed to achieve higher utilization and also bounded delay for ABR traffic flow control.
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