Bandwidth Prediction for Shared Risk p-Cycles in Power System

Shu Yan Shao; Fang Yu; Hui Wang; Fei Xie; Fei Fei Liu; Zhi Li; Bin Li

doi:10.4028/www.scientific.net/AMM.737.243

Paper Titles

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Support Vector Machine Based Method of Earthed Fault Location in Neutral Un-Effectual Grounded Power System
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DC MOA Application and Test Technical Analysis
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Bandwidth Prediction for Shared Risk p-Cycles in Power System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 737Bandwidth Prediction for Shared Risk p-Cycles in...

Bandwidth Prediction for Shared Risk p-Cycles in Power System

Abstract:

In this paper, we focus on the defects of traditional business model, and give the self-similar process definition and significance of research. The self-similar process and characteristics is introduced, and the affected network performance is presented. In order to better understand the network model, we establish an effective business model based on the Poisson and Markov model. A novel iteration approach is introduced to solve the deficiencies problem of traditional approach, it is quite suitable for the dynamic p-cycle application and can accurately describe the actual network traffic for real network. Finally, the precision of different prediction algorithms are compared and analyzed.

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Periodical:

Applied Mechanics and Materials (Volume 737)

Pages:

243-246

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.737.243

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Online since:

March 2015

Authors:

Shu Yan Shao, Fang Yu, Hui Wang, Fei Xie, Fei Fei Liu, Zhi Li, Bin Li

Keywords:

Bandwidth Allocation, P-Cycle, Prediction Algorithm, Wide Area System

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