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首页> 外文期刊>IEEE/ACM Transactions on Networking >A measurement-based admission control algorithm for integrated service packet networks
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A measurement-based admission control algorithm for integrated service packet networks

机译:集成业务分组网中基于度量的准入控制算法

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摘要

Many designs for integrated services networks offer a bounded delay packet delivery service to support real-time applications. To provide a bounded delay service, networks must use admission control to regulate their load. Previous work on admission control mainly focused on algorithms that compute the worst case theoretical queueing delay to guarantee an absolute delay bound for all packets. In this paper, we describe a measurement-based admission control algorithm (ACA) for predictive service, which allows occasional delay violations. We have tested our algorithm through simulations on a wide variety of network topologies and driven with various source models, including some that exhibit long-range dependence, both in themselves and in their aggregation. Our simulation results suggest that measurement-based approach combined with the relaxed service commitment of predictive service enables us to achieve a high level of network utilization while still reliably meeting the delay bound.
机译:集成服务网络的许多设计都提供了有限延迟的数据包传递服务,以支持实时应用。为了提供有限的延迟服务,网络必须使用准入控制来调节其负载。先前关于准入控制的工作主要集中在计算最坏情况理论排队延迟以确保所有数据包的绝对延迟范围的算法。在本文中,我们描述了一种用于预测服务的基于度量的准入控制算法(ACA),该算法允许偶尔发生延迟违规。我们已经通过在各种网络拓扑上进行仿真并通过各种源模型(包括一些在自身和聚合方面都表现出长期依赖性的模型)驱动下对算法进行了测试。我们的仿真结果表明,基于测量的方法与预测服务的宽松服务承诺相结合,使我们能够在不可靠地满足延迟限制的情况下达到较高的网络利用率。

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