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Predicting QoS Characteristics on Wireless Networks

机译：预测无线网络上的QoS特性

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摘要

Nowadays, wireless network traffic exhibits peculiar and unpredictable behaviors that can be attributed to the combination of different factors: the varying number of users, the capacity of the network access points, network traffic matrices, users' mobility, background traffic, diversity of applications, services and user behaviors. This scenario creates an increasing need for tools that can cope with the continuous appearance of new applications and QoS requirements and is able to aid in the global management tasks of wireless IP networks. This paper proposes a novel modeling approach for wireless networks that is able to predict network Quality of Service (QoS) parameters, based only on measured or synthetically generated traffic, without requiring any information on the network structure or on the mobility patterns of network users. The solution to a specific modeling problem, using the proposed framework, is a two-step procedure: in the first step, the network model is constructed from a set of (past) values of the inbound/outbound traffic at the various network access points and a set of values of corresponding network QoS metrics; in the second step, the previously constructed model is used to predict (future) values of the QoS metrics based only on new inbound/outbound traffic values. This framework does not impose any restrictions to the type of metrics that are selected to characterize QoS. The results obtained show that this approach is able to achieve excellent performance for QoS prediction at multiple wireless access points, even when there are significant changes in the number of network users.
机译：如今，无线网络流量表现出特殊的和不可预测的行为，可以归因于不同因素的组合：不同数量的用户，网络接入点，网络流量矩阵，用户的移动性，背景流量，应用程序的多样性，服务和用户行为。此方案对可以应对新应用程序和QoS要求的连续外观的工具创造了越来越需要，并且能够帮助无线IP网络的全局管理任务。本文提出了一种新颖的无线网络建模方法，其能够仅基于测量或合成生成的业务来预测服务（QoS）参数的网络质量（QoS）参数，而不需要关于网络结构的任何信息或网络用户的移动模式。使用所提出的框架的特定建模问题的解决方案是两步过程：在第一步中，网络模型由各种网络接入点处的入站/出站流量的一组（过去）值构成以及相应网络QoS指标的一组值;在第二步骤中，仅基于新的入站/出站流量值来预测QoS度量的（将来）的（将来）的值用于预测（将来）值。此框架不会对选择QoS的度量类型的类型施加任何限制。结果表明，即使在网络用户数量有很大的变化，这种方法也能够在多维无线接入点处实现优异的QoS预测性能。

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