基于异方差效应的网络流量状态质变监测

2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2016-10-01 DOI:10.1109/ICAICT.2016.7991765

A. Skatkov, A. Bryukhovetskiy, V. Shevchenko, D. Voronin

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引用次数: 4

摘要

所提出的方法是基于异方差效应的使用，这在计量经济学中是众所周知的。作者认为，在分析回归方程中随机误差的离散性时，对网络流量状态变化的检测具有重要的积极意义。该方法可以解决云环境中服务维护的供需定义问题。

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Monitoring of qualitative changes of network traffic states based on the heteroscedasticity effect

The proposed approach is based on the use of the heteroscedasticity effect, which is widely known in econometrics. The authors believe that it can give significant positive results for the detection of changes of network traffic states while analyzing the dispersion of the random errors in the regression equations. This method will allow to solve the problem of the definition of supply and demand on the services maintenance in the cloud environments.

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2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)

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