2003•Unpublished venueRequires access

Proportional fairness scheduling on tandem network

Yong Jiang, Jianping Wu, Ke Xu

Open publisher page 2 citations

Abstract

We study packet scheduling algorithms that satisfy multiple performance objectives simultaneously. We have realized the proportional fairness principle based QoS model, which defines both delay and loss rate requirements of a class, to include fairness. The resulting proportional fairness scheduling algorithms on a tandem network formalize the goals of the network performance, user's QoS requirements and system fairness, and expose the fundamental tradeoffs between these goals. In particular, it is difficult to provide these objects simultaneously. By performing simulation and measurement experiments, we evaluate the proportional fairness of the algorithm.

About this research paper

What this paper is about

We study packet scheduling algorithms that satisfy multiple performance objectives simultaneously. We have realized the proportional fairness principle based QoS model, which defines both delay and loss rate requirements of a class, to include fairness. The resulting proportional fairness scheduling algorithms on a tandem network formalize the goals of the network performance, user's QoS requirements and system fairness, and expose the fundamental tradeoffs between these goals. In particular, it is difficult to provide these objects simultaneously. By performing simulation and measurement experiments, we evaluate the proportional fairness of the algorithm.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We study packet scheduling algorithms that satisfy multiple performance objectives simultaneously. We have realized the proportional fairness principle based QoS model, which defines both delay and loss rate requirements of a class, to include fairness. The resulting proportional fairness scheduling algorithms on a tandem network formalize the goals of the network performance, user's QoS requirements and system fairness, and expose the fundamental tradeoffs between these goals. In particular, it is difficult to provide these objects simultaneously. By performing simulation and measurement experiments, we evaluate the proportional fairness of the algorithm.

Key concepts: Fairness measure, Maximum throughput scheduling, Computer science, Max-min fairness, Scheduling (production processes), Quality of service, Proportionally fair, Network packet

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