A Biologically-Inspired Multi-Agent Framework for Autonomic Service Management

This paper describes the design of a scalable bio-mimetic framework that addresses several key issues of autonomous agents in the functional management domain of complex Ubiquitous Service-Oriented Networks. We propose an autonomous network service management platform - SwarmingNet, which is motivated by observations of the swarm intelligence in biological systems (e.g., Termite, Ant/Bees colonies, or Locusts). In this SwarmingNet architecture, the required network service processes are implemented by a group of highly diverse and autonomic objects. These objects are called TeleService Solons (TSSs) as elements of TeleService Holons (TSHs), analoguous to individual insects as members of the whole colony. A single TSS is only able to pursue simple behaviors and interactions with local neighbors, on the contrary, a group of TSSs have the capabilities of fulfilling the complex tasks relating to service discovery and service activation. We simulate a service configuration process for a Multimedia Messaging Service, and a performance comparison between the bio-agents and normal agents is analyzed. Finally, we conclude that through bio-swarming intelligence behaviors, this infrastructure develops the enhanced self-X capabilities which give IP networks advantages of instinctive compatibility, efficiency and scalability.