Maximum entropy utility equilibrium of mobile agents with aggregated statistical behaviours

Mobile agent technology is a service logic where the programs are implemented as mobile agents and thus, are not con-strained to control an intelligent information network from a central location. The mobile agents can migrate and control the networking operations locally. The service logic programs are dragged by cloning or replication to the appropriate locations in response to the excess processing or signaling loads. In this paper, a mathematical view of the networking operations such as traffic aggregation and behavioural pattern discrimination of the differentiated service granularity using mobile agents is presented. The selection of behavioral patterns of the traffic streams is regarded as an optimization problem. Entropy type of utility models for the mobile agents cooperation are considered in order to describe the time separability for the group resource allocation in order to perform the stochastic aggregation of the networking resources.