In previous work we proposed a hormone-based algorithm that delivers content, and optimizes the distribution of replicas. Clients express demands by creating hormones that will be released to the network. The corresponding resources are attracted by this hormone and travel towards a higher hormone concentration. This leads to a placement of content close to their most frequent requesters. In addition to that the hormone-based delivery requires an appropriate replication and clean-up strategy to balance the replicas throughout the network without exceeding the nodes' storage limits or the networks communication capacity.
Replication and replacement in dynamic delivery networks
Anita Sobe and Wilfried Elmenreich
Complex Adaptive Systems Modeling 2013, 1:13 http://dx.doi.org/10.1186/2194-3206-1-13