Study On A Biological System Based Network Computing Model And Its Application

With the development of network application towards high-performance, large-scale, diversity, people put forward more distributed requests to the Internet: the network needs some characteristics, such as self-extension, mobility, survival, simplicity, and adaptability to the long and short change to the users and network environments. As such, it is necessary to optimize the Internet architecture and design its application.Biological information systems can be regarded as distributed automatic systems, and can provide the effective technologies and methods for science and engineering field. In biological world, the large-scale systems, such as human society, bee swarm, and biological immune systems have formed many important theories and mechanisms that can be satisfied with the future requirements of the Internet.In the thesis, we apply the correlated theories and mechanisms, especially emergent behaviors, to the Internet, and bring forward a novel bio-network computing model, and design the model's whole architecture. The bio-model mainly includes bio-network platform (which consists of bio-entity context, bio-network services, and bio-network components) and bio-entities. In the bio-network architecture, we use for reference the concept of energy in the ecological system. The energy is used to control bio-entity behaviors, such as replication, reproduction, death, and weigh the network resource used by bio-entities. Then the control mechanism and management function of energy are discussed and the security of energy is introduced.In order to communicate and collaborate among the bio-entities to implement emergent service and computation better, we design a kind of bio-network communication language by combining the advantages of the Agent Communication Language to solve the communication in the bio-network. The bio-network communication mechanism cancoordinate the communication between bio-entities, bio-entities and super-entities, and super-entities.We build the bio-network intelligent simulation platform by combining with other biological mechanisms. Services and applications of the Internet are designed and validated through computer simulation. On the bio-network platform, the behaviors of bio-entity and super-entity are simulated to produce services and applications needed.On the bio-network platform, we implement a novel network emergent computing model to satisfy bio-network service emergence based on the mutual-coupled immune networks. The experiment results on the platform show that the model can be used to realize service emergence on the Internet. Also, a P2P network topology architecture model is constructed based on immune symmetrical networks and the simulation results can satisfy efficiently to the users' requests.Finally, we conclude the whole thesis, and make further researches on theories and applications of the bio-network model.