Multi-agent control is an efficient method to optimize local systems in decentralized environments. Market-based algorithms are multi agent scenarios in which producer and consumer agents compete and cooperate on a market at the same time. The method is applied to a set of local queuing processes where the local death rates can be influenced by some external control strategy but the local birth rates cannot. The goal is to change the individual death rates so that the distributions of all queuing processes are adjusted.