In many cyber physical systems such as smart grids, communications are of key importance for controlling or optimizing the operation of physical dynamics. It is possible that the realtime measurement traffic for controlling the physical dynamics overlays delay-tolerant queuing data flows such as Internet service in the same communication infrastructure. The scheduling of the hybrid system is then important for the performance of both realtime control and data throughput. To balance both controls of the physical dynamics and queuing dynamics, they are integrated within the same framework of stochastic optimization, which is solved using approximate algorithm. The proposed algorithm is then applied in the context of smart grids and is demonstrated to achieve good performance over simple scheduling algorithms that are not aware of the physical dynamics state.
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