Methods of Linear Transfer Speed Estimation in the Data Grid

机译：数据网格中线性传输速度估计的方法

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摘要

Four methods to estimate available channel bandwidth in Data Grid are described. To compare methods Data Grid was emulated and the special data transfer scenarios were designed. For every scenario the estimates of the performance and bandwidth parameters are constructed using linear filtering techniques based on the Kalman filter, least-squares, recursive least-squares and linear stochastic approximation with randomized inputs. The parameters such as step-size were the same during all the experiments to show how well can the algorithms adapt to different data transfer scenarios without any manual adjustment. The results demonstrating the estimation errors of the considered meth-ods are given and disscussed.

机译：描述了估计数据网格中可用信道带宽的四种方法。为了比较方法，模拟了Data Grid，并设计了特殊的数据传输方案。对于每种情况，都使用基于卡尔曼滤波器，最小二乘，递归最小二乘和具有随机输入的线性随机近似的线性滤波技术来构建性能和带宽参数的估计值。在所有实验中，诸如步长之类的参数都是相同的，以表明该算法在不进行任何手动调整的情况下能够很好地适应不同的数据传输方案。给出并讨论了表明所考虑方法的估计误差的结果。

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来源
《Data grid for escience workshop 2009》|2009年|P.29-34|共6页
会议地点 Ischia(IT);Ischia(IT)
作者
Alexander T. Vakhitov; Mikhail A. Panshenskov;
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作者单位

Saint Petersburg State University Universitetsky pr., 28 Peterhof, Russia 198504;

rnSaint Petersburg State University Universitetsky pr., 28 Peterhof, Russia 198504;

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会议组织
原文格式 PDF
正文语种 eng
中图分类程序设计、软件工程;
关键词
available channel bandwidth estimation; grid environment; parameters estimation methods; stochastic approximation;

机译：可用信道带宽估计；网格环境；参数估计方法；随机近似;

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Methods of Linear Transfer Speed Estimation in the Data Grid

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