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MD-AVB: A Multi-Manifold Based Available Bandwidth Prediction Algorithm

机译:MD-AVB:基于多流形的可用带宽预测算法

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摘要

The performance of Internet applications is heavily affected by the end-to-end available bandwidth. Thus, it is very important to examine how to accurately predict the available Internet bandwidth. A number of available bandwidth prediction algorithms have been proposed to date, but none of the existing solutions are able to achieve a high level of accuracy. In this paper, a Multi-manifold based Available Bandwidth prediction algorithm (MD-AVB) is proposed, based on the observation that the available bandwidth space on the Internet is multi-manifold and asymmetrical. In the proposed algorithm, the available bandwidth space is divided into multiple lower-dimensional domains iteratively, and each domain is embedded separately to predict the available bandwidth. Experiments on HP S-3 datasets demonstrate that the proposed algorithm is more accurate than existing approaches.
机译:Internet应用程序的性能受到端到端可用带宽的严重影响。 因此,检查如何准确预测可用的互联网带宽非常重要。 已经提出了许多可用的带宽预测算法,但是现有解决方案都不能达到高水平的精度。 在本文中,提出了一种基于多歧管的可用带宽预测算法(MD-AVB),基于互联网上的可用带宽空间是多歧管和不对称的观察。 在所提出的算法中,可用带宽空间被迭代地划分为多个下维域,并且每个域分别嵌入以预测可用带宽。 HP S-3数据集的实验表明,所提出的算法比现有方法更准确。

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