Multichannel Stochastic Networks under Critical Load Conditions

Authors:
Ye. A. Lebedev
Affiliations:
Taras Shevchenko University, Kiev, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2005

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Abstract

Multichannel stochastic networks are investigated under overload conditions. A general limit theorem on the approximation of a process of data processing by the sum of two independent multivariate Gaussian processes is proved. Applications of this result are considered in the cases where the processing time distributions are exponential and hyper-Erlangian.