Study On Bio-Network-Based Telecommunication Service Delivery Platform For Next Generation Network

With the rapid development of communication networks and the increasing complexity of the network structure, the traditional communication network technology has been unable to meet application requirements in recent years. Therefore, in many fields we have introduced computational intelligence techniques to solve complex problems, such as the intelligent network applications, mobile agent-distributed information processing, using active networks to solve network congestion control, which are the successful application of computational intelligence techniques in communication networks. In the future of network convergence, particularly developing next-generation network (NGN), the computational intelligence technologies will also play a significant role to provide effective and efficient solution for the problem that can not overcome currently.In the thesis we integrate biological network theory, intelligent agent and next-generation network technology to design a novel next-generation network services platform architecture. Based on bio-network middleware prototype, some bio-intelligent algorithms are used to solve practical problems in next-generation network.First of all, we describe the progress of next generation network and business and research content, and the successful application of computational intelligence in the communication field. We also discuss the inspiration of intelligent computing for next-generation communications networks.Second, biological network structure is abstracted from biological networks and combined with OSA/Parlay architecture and Corba technology to construct a novel bio-intelligence service platform. The platform provides a base model for intelligent service, and gives a means of studying the application of intelligent computing in the communication network.Then, referring to NGN simulation software, we have developed in the laboratory bio-network simulation platform based on the design and development of a bio-intelligent features OSA/Parlay service platform prototype system, and expand the biological integrity of the management of business entities function realization for business platform for the introduction of bio-intelligence, and the overall stability of the dynamic equilibrium mechanism for business to provide dynamic load balancing of the intelligent control.Again, referring to NGN simulation software, we have designed a prototype system of Parlay service platform with biological intelligence features. Then we have expanded biological entity to implement integrity management function, so the platform have the features of dynamic balance and overall stability and is able to provide dynamic load balancing for services.Next, we extend the structure of the biological network and biological entities and propose next-generation service platform architecture with reliability feature which can provide reliable sensing, detection, evaluation and control management for NGN and can effectively improve the system response and backup performance.After that, through biological entity detects the SLEE container to get the environmental information and take self-adjusting, we use bio-network platform to study the load balancing research of the computing resources and communication bandwidth, and build optimization model to rationally use resources and bandwidth.And, based on bio-network simulation platform, we have built a optimization model for NGN multicast tree and design immune inspired algorithm to solve it. The simulation result demonstrates that it has better feasibility and practicability to multicast QoS routing optimization.Finally, the thesis summarizes the research content by pointing out the flaws in the study, and the next step of the research.