Study On Co-Evolution Theory Of Bio-Network Based On Cytokine Network And Its Applications

With the development of network application requirements for high performance, large scale,and diversity,Internet should be highly distributed,that is to say,the network with the core of users should be extensibility,mobility,survivality,simple operation,and adaptability to the long or short change of users and network environments.Hence,it is necessary to optimize further the architecture of Internet and design its applications. Biological information systems can be regarded as distributed automatic systems,and can provide various effective technologies and methods for science and engineering field.In biological world,the large-scale systems,such as human society,bee swarm,and human body systems have developed 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 of cytokine network to the Internet,and bring forward a novel bio-network computing model and some intelligent algorithms.Firstly,we investigate the development of artificial intelligent technologies,including artificial neural network,artificial immune system,artificial endocrine system,and the others intelligent technologies.And their difficulties and further developments are summarized.Some relative physiological theories and modulation mechanisms or models of neural system,endocrine system,and immune system,are briefly introduced.They provide the biological bases for the intelligent network models and algorithms studied in this thesis.We introduce characteristic of intelligent mobile agents,which is useful for designing bio-network models.Secondly,from theories and studies of the cytokine netowork,we abstract a computing framework integrated by neuro-endocrine-immune networks and design bio-network architecture and its middleware.The bio-network middleware includes bio-network platform and bio-entities.The bio-network platform consists of general basic components,bio-network services modules and context modules.A bio-entity is the smallest unit in the network applications.Then we design communication mechanisms of the bio-network. Again,a two-step,two-signal(TSTS) model for the primary activation of precursor helper T cells is proposed to incorporate a mechanism of peripheral self-nonself discrimination.Based on the TSTS model,we propose a novel artificial immune algorithm to generate different TSTS bio-entities.We design a distributed intrusion detection system (DIDS) based on the TSTS bio-entities to protect the security of our bio-network architecture.We also discuss its running mechanism.Next,inspired by schedule model of hematopoiesis cytokine network,extending the design of bio-entity,a co-schedule model is proposed for Web services.In the model of hematopoiesis cytokine network,the synergy and inhibitor mechanisms adjusting the capability of hematopoiesis cells are studied.On the basis of cytokine network,the request and schedule of the Web composite services are modeled by incorporating the model of hematopoiesis cytokine network to design an approach of computing resources. Considering two strategies of services selection,the capability of response and service quality are studied in the extended bio-network platform.The experimental study shows that the real-time schedule method based on hematopoiesis cytokine network is valid and has promising performance.After that,inspired by co-evolutionary mechanism in neuroendocrine-immune system, a cytokine network platform is proposed for Web services composition.In the control of cytokine network,bio-entity delegates Web service to construct a Melay evolutionary unit with conditions.Web composition is then transferred to Melay evolutionary process. Bio-entities construct cytokine network through message matching and conditional constraints to support Web services composition.During the co-evolution process of Web services,the composed services are dynamically adjusted to finish the dynamical composition and management of Web services.The simulation results show that the approach is adaptive in dynamic environments.And,inspired by co-evolutionary mechanism in cytokine network,the features and computing capability of bio-entity are designed for a clustering approach in Web services composition.In the control of cytokine network,bio-entity delegates Web service with basic functions of cytokine network entity.Moreover,bio-entity is extended to support distributed awareness.Considering the connect affinity,multiple affinity-based service quality model,and trust affinity,the concrete methods for service awareness are supported. The simulation results show that the approach is of high performance and extendable capability.Finally,a summary of the thesis is made,and the deficiency in the project and the further development are narrated respectively.