DIBS: Dual interval bandwidth scheduling for short-term differentiation

Humzah Jaffar, Xiaobo Zhou, Liqiang Zhang
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引用次数: 1

Abstract

Packet delay and bandwidth are two important metrics for measuring quality of service (QoS) of Internet services. While proportional delay differentiation (PDD) has been studied intensively in the context of differentiated services, few studies were conducted for per-class bandwidth differentiation. In this paper, we design and evaluate an efficient bandwidth differentiation approach. The DIBS (dual interval bandwidth scheduling) approach focuses on the short-term bandwidth differentiation of multiple classes because many Internet transactions take place in a small time frame. It does so based on the normalized instantaneous bandwidth, measured by the use of packet size and packet delay. It also proposes to use a look-back interval and a look-ahead interval to trade off differentiation accuracy and scheduling overhead. We implemented DIBS in the click modular software router. Extensive experiments have demonstrated its feasibility and effectiveness in achieving short-term bandwidth differentiation. Compared with the representative PDD algorithm WTP, DIBS can achieve better bandwidth differentiation when the inter-class packet size distributions are different. Compared with the representative weighted fair queueing algorithm PGPS, DIBS can achieve more accurate or comparable bandwidth differentiation at various workload situations, with better delay differentiation and lower cost.
DIBS:用于短期差分的双间隔带宽调度
分组延迟和带宽是衡量互联网服务质量(QoS)的两个重要指标。虽然比例延迟区分(PDD)在差异化业务背景下已经得到了深入的研究,但对每类带宽区分的研究却很少。在本文中,我们设计并评估了一种有效的带宽区分方法。DIBS(双间隔带宽调度)方法侧重于多个类的短期带宽差异,因为许多Internet事务发生在短时间内。它基于标准化的瞬时带宽,通过使用数据包大小和数据包延迟来测量。它还建议使用一个回看间隔和一个前看间隔来权衡微分精度和调度开销。我们在模块化软件路由器中实现了DIBS。大量的实验证明了该方法在实现短期带宽分化方面的可行性和有效性。与具有代表性的PDD算法WTP相比,DIBS在类间数据包大小分布不同的情况下可以实现更好的带宽区分。与具有代表性的加权公平排队算法PGPS相比,DIBS可以在各种工作负载情况下实现更准确或可比的带宽区分,具有更好的延迟区分和更低的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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