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Efficient resource management is crucial in modern networks due to the stringent requirements of emerging services. As networks become more complex with technologies such as 5G, edge computing, service-defined networking, scalable packet scheduling becomes essential. In parallel, there is a growing revolution in latency-sensitive applications, with different latency requirements of 5G and beyond services. To promote delay-sensitive traffic in a scalable manner, this paper presents a general delay-oriented analysis of multi-queue systems. Based on this model, we present a scheduling rule and scheduler implementation for delay proportional and fair services that can serve delay-sensitive traffic more efficiently and in scalable way than previous solutions.

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Scalable Service Model and Scheduler for Delay-Sensitive Services

  • 会议论文

  • 发表日期：

    2025年

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  • Csaba Lukovszki,
  • József Bíró

摘要

Efficient resource management is crucial in modern networks due to the stringent requirements of emerging services. As networks become more complex with technologies such as 5G, edge computing, service-defined networking, scalable packet scheduling becomes essential. In parallel, there is a growing revolution in latency-sensitive applications, with different latency requirements of 5G and beyond services. To promote delay-sensitive traffic in a scalable manner, this paper presents a general delay-oriented analysis of multi-queue systems. Based on this model, we present a scheduling rule and scheduler implementation for delay proportional and fair services that can serve delay-sensitive traffic more efficiently and in scalable way than previous solutions.