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A coarse-grain analysis for the performance o f measurement-based admission controlalgorithms

机译:基于测量的准入控制算法性能的粗粒度分析

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摘要

Network load control mechanisms have become important due to merging towards IP-packet switched networks, Fixed-Mobile Convergence (FMC) and the growing diversity of Internet applications. These applications vary in terms of size, content, time duration, and Quality of Service (QoS) requirements. These current advancements require new design criteria for traffic control mechanisms to cope with the growing complexity of future networks and the increasing diversity of network applications. Previous work on the design and performance evaluation criteria of Call Admission Control (CAC) algorithms has taken link utilization as a measure of efficient allocation of available network resources while enhancing QoS. We believe that considering only link utilization to evaluate the performance of CAC algorithms is not an accurate criterion. In this paper, we propose a simple and robust method for evaluating the performance and design considerations of CAC algorithms. The proposed approach is based on flow parameters such as call admission rate, call rejection rate, average call duration and provided QoS parameters with respect to link utilization level. This flow-based evaluation method is particularly important for optimal resource allocation, efficient service management and content-based pricing.
机译:由于融合了IP分组交换网络,固定移动融合(FMC)和Internet应用程序的日益多样化,网络负载控制机制已变得非常重要。这些应用程序在大小,内容,持续时间和服务质量(QoS)要求方面有所不同。这些当前的进步要求针对流量控制机制的新设计标准,以应对未来网络日益增长的复杂性和网络应用程序日益多样化的需求。先前关于呼叫允许控制(CAC)算法的设计和性能评估标准的工作已经将链路利用率作为有效分配可用网络资源并增强QoS的一种措施。我们认为仅考虑链接利用率来评估CAC算法的性能并不是一个准确的标准。在本文中,我们提出了一种简单而健壮的方法来评估CAC算法的性能和设计考虑因素。所提出的方法基于流参数,例如呼叫准入率,呼叫拒绝率,平均呼叫持续时间以及相对于链路利用率级别提供的QoS参数。这种基于流程的评估方法对于优化资源分配,有效的服务管理和基于内容的定价特别重要。

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