[1.1] 
takes place for some function Φ( ∙ ) on the corresponding space. For example, for the system Reg| G |1| ∞ we consider the process
where W ( t ) is the virtual waiting time and Q ( t ) is the number of customers in the system at time t . Let
be the sequences of service and arrival times of customers, respectively, and
Assuming that Q (0) = 0, we have W ( t ) =
where
is an indicator function (Borovkov 1976).
The main goal of this chapter is the determination of the conditions of the stochastic boundedness of the number of customers Q ( t ) in the system as t → ∞ . Our analysis is based on the construction of the auxiliary service process.
1.3. Auxiliary service process
For the system S , we define an auxiliary system S 0with input flow X 0such that when the number of customers in the system becomes less than m a new customer immediately arrives in the system. Therefore, there are always customers for service in S 0. Other characteristics such as the initial state, the sequence
stochastic process
and a functional Φ are the same as for the system S . If in the system S the initial number of customers Q (0) < m , then the process X 0has the jump m – Q (0) at zero instant. We determine an auxiliary service process Y ( t ) as the number of customers served in S 0during (0 , t ). Since the flow Y is defined by the processes
and V and these processes do not depend on the input flow X at the system S , we conclude that X and Y are independent flows.
We also need additional assumptions.
CONDITION 1.1.– For the continuous-time case, Y is a strongly regenerative flow with the sequence
as points of regeneration.
We call the regenerative flow Y strongly regenerative if the regeneration period
has the form
[1.2] 
where
are independent random variables and 
CONDITION 1.2.– For the discrete-time case, processes X and Y are regenerative aperiodic flows. As usually, aperiodicity means that the greatest common divisor (GCD)
Then we may determine common points of regeneration
for both processes X and Y letting in the discrete-time case
[1.3] 
and in the continuous-time case
[1.4] 
LEMMA 1.1.– Let for the continuous-time (discrete-time) condition 1.1 (condition 1.2) be fulfilled. Then the sequence
consists of common regeneration points for X and Y and
[1.5] 
for the continuous-time case,
[1.6] 
for the discrete-time case.
PROOF.– Since the proof of [1.5]is almost the same as the proof of [1.6], we consider the discrete-time case only. Let
so that
Then
is a sequence of iid random variables and in accordance with Wald’s identity
(Feller 1971). Therefore, we need to prove the finiteness of Eν1 . Denote by h 2( t ) ( h ( t )) the mean number of renewals at time t for the renewal process
so that
and
Taking into account condition 1.2, we derive from Blackwell’s theorem (Thorisson 2000)
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