LIMIT THEOREM FOR NON-MARKOV MULTICHANNEL NETWORKS IN OVERLOAD MODE OF OPERATION

In the paper open multi-channel stochastic networks are considered. Input flows are non-homogeneous Poisson flows with their rates dependent on time. Service times are random values with distribution functions of GI-type. A limit theorem for service process in such a network under heavy traffic conditions is proved. Correlation characteristics of limit Gaussian process are represented in an explicit form via network parameters.