Research On The Key Technologies Of Green Networking In Universal Identifier Networks

With the rapid development of Internet, the scale of the Internet becomes increas-ingly larger. However, the energy consumption of Internet devices is increasing year by year. For the purpose of reducing human impact on nature, reducing the Operative Expenditures (OpEx) of the Internet Service Providers, increasing the scalability of network device, the interest of reducing the power consumption becomes one of the hot topics of the next generation network research.The ID/Locator separation architecture represents the orientation of network de-velopment and the future network mechanism. The Universal Identifier Network (UIN) is one of the identifiers and locators separation mechanism. The UIN with core net-work and access network splitting structure has lots of advantages including routing scalability, mobility, security, controllability and manageability. Based on the in-depth research and analysis of the current network, the dissertation researches on the trade-off relationship between energy efficiency and delay cost. The dissertation researches on green networking strategies in core network and access network, the deployment of green network strategy and the compatible transition method to the UIN, respectively. This work perfects the UIN theory system and provide theoretical basis and technical support for the massive deployment of the UIN. The main research innovations are summarized as follows:1. The dissertation proposed an integer non-linear programming network energy consumption model based on QoS constraints. The optimization object of the non-linear programming is minimizing the total network cost including energy cost and delay cost. By evaluating the programming model on the real ISP topol-ogy and synthetic topology,the numerical result shows the impact of shutting down network element on energy consumption and network delay. On the other hand, the model can get the minimum cost of network by controlling the network link utilization. In this way, the model can achieve about2～7%more energy saving while guaranteeing quality of service of network.2. The core network of the UIN has many redundance links to guarantee QoS. The dissertation proposes an energy optimization model under network connectivity and link utilization constraints in the core network of UIN environment. By defining the link criticality, the dissertation proposes a heuristic algorithm based on link criticality. The evaluation results of the heuristic in real ISP core topology and performance comparison show that the criticality heuristic has average6.8%higher energy saving efficiency than the other algorithm and little impact on the traffic load balancing.3. The access network of the UIN has little redundance links but large amount of devices, so the access network consumes majority of overall network energy consumption. Comparing the impact of user network behaviors including packet arrival distribution, packet number, online duration and online times on the en-ergy saving efficiency of greening strategies, the dissertation proposes a greening strategy based on traffic shaping in order to improve the energy efficiency. The campus trace driven simulation results and performance comparisons show that the traffic shaping strategy have high and steady energy saving efficiency up to90%. It is proper to deploy the traffic shaping strategy in the access network of UIN.4. To deploy the greening strategy in the UIN. the dissertation proposes a method based on the central-controller in the core network. The network can achieve self-optimizing, self-configuring, self evolution to the green network by long/short loop control model. On the other hand, the dissertation proposes a compatible transition method from traditional IPv4network to the greener UIN network. By adding a96bit prefix to the IPv4address, it achieves the identifier mapping to RID. The host in the legacy network can communicate with the host in the UIN without any modification of device or protocol. The evaluation results shows that the transition strategy does not take extra end-to-end delay while reducing the mapping storage and mapping lookup delay guaranteeing the scalability of the transition system. On the other hand, the UIN can be incrementally deployed and the early adopters will get the incentive advantages.