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Predictive Schemes for QoS Awareness of Publish/Subscribe Systems on MANET

机译:疯狂的发布/订阅系统的QoS意识预测方案

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摘要

In this paper, we propose a failure prediction methodology for quality of service (QoS) degradation prediction for publish/subscribe systems on MANET. Our propose is to use the Auto Regressive Integrated Moving Average (ARIMA) method to predict failure occurrence in the system and to provide optimal QoS provision of applications. Besides, our forecasting algorithm looks for the source behind QoS degradation using the Correlation method. Simulations results are performed to prove the efficiency of the proposed approach. A comparison is done proving that our proposal outperforms the Auto Regression (AR) based prediction approach.
机译:在本文中,我们提出了一种故障预测方法,用于在MANET上发布/订阅系统的服务质量(QoS)降级预测。我们的建议是使用自动回归集成移动平均(ARIMA)方法来预测系统中的故障发生,并提供最佳的QoS提供应用。此外,我们的预测算法使用相关方法查找QoS劣化后面的源。进行模拟结果以证明提出的方法的效率。完成比较证明我们的提案优于基于自动回归(AR)的预测方法。

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