A distributed method that combines both flow control and smart volume reduction means in a communication network is provided herein. The stages of the method are applied by each node in the network in a distributed way, which adapts to the evolving state of the system. The operations performed by each node in the network are adapted dynamically in a way that adjusts itself to the changes that occur in various parameters of the network. Such parameters include both local node state and also the state of different nodes in the distributed infrastructure. The state of the nodes is characterized by parameters such as transmission rates, available buffer space and the state of data in buffer. The stages are carried out in parallel by the nodes and ordered such that the equality of the data flowing in the network, in terms of delay and specified attributes, is maximized.