  In this paper, we mainly investigate an integrated system operating under a
software defined network (SDN) protocol. SDN is a new networking paradigm in
which network intelligence is centrally administered and data is communicated
via channels that are physically separated from those conveying user data.
Under the SDN architecture, it is feasible to set up multiple flows for
transmitting control signals to an actuator with high priority for each
individual application. While each flow may suffer random transmission delay,
we focus on the stabilization problem under the joint design of the
event-driven strategy in actuator and the control policy in decision-maker. By
introducing a predefined application time, the integrated system can be
reformulated as the form of stochastic system with input delay and
multiplicative noise. For such system, we propose a set of necessary and
sufficient stabilization conditions. Specifically, for the scalar system, we
derive the allowable sampling period bound that can guarantee stabilization in
terms of the probability distributions of the random transmission delays. A
simple example is included to show the performance of our theoretic results.
