Towards Self-Adaptive Networking with Symbiotic Behaviors of Multi-Agents

This paper describes a biologically-inspired architecture, called SymbioticSphere, which allows network systems to autonomously adapt to dynamic environmental changes. SymbioticSphere consists of two major system components: application services and middleware platforms. Each service and platform is designed as a biological entity and implements biological behaviors such as migration, replication, death and energy exchange. This paper describes how agents and platform behave and interact with each other. Simulation results show that services and platforms autonomously adapt to dynamic network conditions (e.g., user location, network traffic and resource availability) by invoking their behaviors suitable for the conditions. Simulation results also show that services and platforms autonomously behave in a symbiotic manner to pursue their mutual benefits (adaptability)