Output Rate-Controlled Generalized Processor Sharing: End-to-end delay bounds calculation

M. Hanada, H. Nakazato, Hitoshi Watanabe
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Abstract

Recently multimedia applications such as music or video streaming, video teleconferencing and IP telephony have been flourishing in packet-switched networks. Applications that generate such real-time data can have very diverse quality-of-service (QoS) requirements. In order to guarantee diverse QoS requirements, the combined use of a packet scheduling algorithm based on Generalized Processor Sharing (GPS) and leaky bucket traffic regulator is the most successful QoS mechanism. GPS can provide a minimum guaranteed service rate for each session and tight delay bounds for leaky bucket constrained sessions. However, the delay bounds for leaky bucket constrained sessions under GPS are unnecessarily large because each session is served according to its associated constant weight until the session buffer is empty. In order to solve the problem, a scheduling policy called Output Rate-Controlled Generalized Processor Sharing (ORC-GPS) has been proposed in [10]. ORC-GPS is a rate-based scheduling like GPS, and controls the service rate in order to lower the delay bounds for leaky bucket constrained sessions. In this paper, we extend the delay bounds calculation for single-node networks introduced in [10] to multi-node networks and compare ORC-GPS with GPS in terms of end-to-end delay bounds through numerical experiments.
输出速率控制的广义处理器共享:端到端延迟界计算
最近,音乐或视频流、视频电话会议和IP电话等多媒体应用在分组交换网络中蓬勃发展。生成这种实时数据的应用程序可能具有非常不同的服务质量(QoS)需求。为了保证多样化的QoS需求,将基于GPS (Generalized Processor Sharing,通用处理器共享)的分组调度算法与漏桶流量调节器相结合是目前最成功的QoS机制。GPS可以为每个会话提供最小保证服务速率,并为受漏桶约束的会话提供严格的延迟边界。然而,在GPS下,泄漏桶约束会话的延迟界限是不必要的大,因为每个会话都根据其相关的常量权重提供服务,直到会话缓冲区为空。为了解决这个问题,文献[10]提出了一种称为输出速率控制广义处理器共享(ORC-GPS)的调度策略。ORC-GPS是一种基于速率的调度,与GPS类似,它控制服务速率以降低受泄漏桶约束的会话的延迟界限。本文将文献[10]中介绍的单节点网络的延迟界计算扩展到多节点网络,并通过数值实验比较ORC-GPS与GPS的端到端延迟界。
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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