We consider the biological immune system as a set of active computational components interacting in a dynamic and often unpredictable environment. Then, the behaviors of the biological immune systems can be modeled in terms of bio-entities and society-entities. Bio-entities in the bio-network architecture are regarded as autonomous agents and possess the characteristics such as interaction, no central control, diversity, mobility, and evolution. The bio-network architecture will make it possible to emerge the complexity of the biological immune systems from the interactions of bio-entities. We only need design simple behaviors of bio-entities, while complex biological behaviors are the emergence of bio-entities behaviors. The layered infrastructure of the bio-network architecture consists of bio-entities, bio-entity survivable environment, bio-network core services, bio-network low-level functional modules, and bio-network simulators.
Published in Chapter:
Immune Based Bio-Network Architecture and its Simulation Platform for Future Internet
Yong-Sheng Ding (Ministry of Education, China), Xiang-Feng Zhang (Ministry of Education, China & Shanghai Dianji University, China), and Li-Hong Ren (Ministry of Education, China)
Copyright: © 2009
|Pages: 15
DOI: 10.4018/978-1-60566-310-4.ch010
Abstract
Future Internet should be capable of extensibility, survivability, mobility, and adaptability to the changes of different users and network environments, so it is necessary to optimize the current Internet architecture and its applications. Inspired by the resemble features between the immune systems and future Internet, the authors introduce some key principles and mechanisms of the immune systems to design a bio-network architecture to address the challenges of future Internet. In the bio-network architecture, network resources are represented by various bioentities, while complex services and application can be emerged from the interactions among bio-entities. Also, they develop a bio-network simulation platform which has the capability of service emergence, evolution, and so forth. The simulation platform can be used to simulate some complex services and applications for Internet or distributed network. The simulators with different functions can be embedded in the simulation platform. As a demonstration, this chapter provides two immune network computation models to generate the emergent services through computer simulation experiments on the platform. The experimental results show that the bio-entities on the platform provide quickly services to the users’ requests with short response time. The interactions among bio-entities maintain the load balance of the bio-network and make the resources be utilized reasonably. With the advantages of adaptability, extensibility, and survivability, the bio-network architecture provides a novel way to design new intelligent Internet information services and applications.