Research On Survivability Key Technologies For System Wide Information Management(SWIM)

System Wide Information Management(SWIM)is the infrastructure of the“Aviation Cloud” recommended by the International Civil Aviation Organization(ICAO),and as the information sharing mechanism of the US Next Generation Transportation System(Next Gen)and the Single European Sky ATM Research Program(SESAR).It can realize the Collaborative Decision-Making(CDM)of the air transportation system and ensure its safe and efficient operation.Because SWIM shared information includes various business data of Air Traffic Management(ATM),which involves all levels of air traffic,and faces many security threats.So how to ensure the continuous and effective operation of the key services of air transportation after SWIM is attacked and destroyed has become an urgent problem to be solved.Therefore,researching the key survivability technologies of SWIM and ensuring the continuity of SWIM business has become a key task in the construction of the “four strong air traffic management”.Based on the analysis of current large-scale network survivability research,combined with the business process and service characteristics of SWIM,this thesis studies the survivability evaluation method,load balancing method,task scheduling method at SWIM information management and service application level,and survivability routing cache strategy at SWIM infrastructure level.The main research work and contributions are as follows:(1)A SWIM survivability PDRRDR model and BP neural network evaluation method are proposed.Aiming at the survivability in the application of SWIM,considering the topology reliability,service distribution and fault-tolerant performance,the PDRRDR survivability model is proposed.By establishing a survivability evaluation index system,using fuzzy comprehensive analysis method to create samples,and using BP neural network to establish a corresponding three-layer survivability evaluation model.The evaluation of the survivability of the SWIM system provides a simple,practical and efficient quantitative model for complex SWIM survivability evaluation.(2)A SWIM survivability load balancing method based on dynamic feedback is proposed.Aiming at the problem of load imbalance caused by heterogeneity of service node resources in SWIM,by improving the Weighted Least-Connection(WLC)algorithm,a load balancing algorithm based on dynamic feedback is proposed.By synthesizing the CPU,memory and other hardware performance indicators of resource service nodes in SWIM,and dynamically adjusting the weights according to the real-time load of the acquired servers.This allows SWIM can always be maintain in a load balanced state,reduce the average response time of the system and improve the task processing ability of the system.(3)A survivability task scheduling method for SWIM based on ant colony optimization algorithm is proposed.From the perspective of the utilization of system information and the sharing rate of resources,the continuity of the service provided by the system is taken as the foothold,and the survivability of task scheduling is emphasized.Based on the classical ant colony algorithm,the pheromone update is performed according to the hardware performance quality index and load standard deviation of the service node in SWIM.A survivability task scheduling method for SWIM based on ant colony optimization algorithm is proposed(STSM-ACOA),which not only reduces task execution time,but also improves the utilization rate of system resources,and to ensure the survivability of system task scheduling.(4)A routing cache strategy based on Information-Centric Networking(ICN)for SWIM shared data survivability is proposed.Aiming at the potential network security problems caused by the node failure in the existing SWIM infrastructure layer,a route caching strategy based on ICN for SWIM shared data survivability is proposed.The strategy uses the ICN to construct a two-layer network structure of content popularity and node importance.The important cache nodes in the network are selected as special backup cache nodes,and the popular content is cached on this node.So as to reduce the adverse impact of network node failure on the system routing cache performance,and ensure the survivability of SWIM shared data routing cache.The survivability of SWIM is very important to guarantee the continuity of air transportation business in the face of network attacks and system failures.This thesis considers the security of SWIM and the reliability of the functions of the internal logical layers separately.The research methods and strategies proposed can ensure that SWIM continue to provide key services after being attacked,and have important application value for promoting the safe and efficient operation of air transportation.