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基于分层结构的C4ISR服务部署分布式演化方法
引用本文:焦志强,张杰勇,姚佩阳,王勋,何宜超.基于分层结构的C4ISR服务部署分布式演化方法[J].系统工程与电子技术,2021,43(6):1572-1585.
作者姓名:焦志强  张杰勇  姚佩阳  王勋  何宜超
作者单位:1. 空军工程大学信息与导航学院, 陕西 西安 7100772. 空军工程大学研究生院, 陕西 西安 7100773. 国防科技大学信息通信学院, 陕西 西安 710106
基金项目:国家自然科学基金(61403414);国家自然科学基金(61573017);陕西省自然科学基金(2017JM6062);国家博士后基金(2017T100817)
摘    要:针对指挥信息系统(command, control, communications, computers, intelligence, surveillance and reconnaissance, C4ISR)服务部署分散、作战平台计算/存储资源有限、演化实时性要求高的特点, 基于分层结构设计了系统状态分布式监控与演化总体架构, 并在该架构下提出了一种服务部署方案层级动态调整方法。通过定义信息流转长度与方案调整代价设计了服务部署调整方案的数学优化模型, 针对部署方案中同时包含服务部署位置和信息流转路径的特点, 将成对交换思想、最短路径规划与m-best策略相结合提出了一种贪心求解算法, 以实现调整方案的快速生成。实验证明, 该方法能够在保证系统信息流转效能的同时有效控制系统的演化范围, 适用于执行任务过程中服务部署方案的敏捷调整。

关 键 词:系统状态监控  服务部署方案动态调整  分层结构  成对交换方法  路径规划  调整代价约束  
收稿时间:2020-07-06

Distributed evolution method of C4ISR service deployment based on hierarchical structure
Zhiqiang JIAO,Jieyong ZHANG,Peiyang YAO,Xun WANG,Yichao HE.Distributed evolution method of C4ISR service deployment based on hierarchical structure[J].System Engineering and Electronics,2021,43(6):1572-1585.
Authors:Zhiqiang JIAO  Jieyong ZHANG  Peiyang YAO  Xun WANG  Yichao HE
Institution:1. Information and Navigation College, Air Force Engineering University, Xi'an 710077, China2. Graduate College, Air Force Engineering University, Xi'an 710077, China3. College of Information and Communication, National University of Defense Technology, Xi'an 710106, China
Abstract:To the characteristics of decentralized deployment of the command, control, communications, computers, intelligence, surveillance and reconnaissance (C4ISR) services, limited computing/storage resources for combat platforms, and high requirements for evolutionary real-time performance, the overall architecture of distributed monitoring and evolution of system state is designed based on hierarchical structure, and a dynamic adjustment method of service deployment scheme hierarchy is proposed. By analyzing the implementation difficulties of the resource coordination module in the overall architecture, the distributed deployment model of the C4ISR service is demonstrated based on defining the evolution cost and information flow path length. To the characteristics that the service deployment location and information flow path are included in the evolution scheme, a pair of exchange ideas, shortest path planning method and m-best strategy are combined to propose a greedy solution algorithm to realize the rapid generation of evolution scheme. The experimental results show that the method can effectively control the evolution range while ensuring the efficiency of system information flow, and can be suitable for the agile adjustment of service deployment method in the process of task execution.
Keywords:system status monitoring  dynamic adjustment of service deployment scheme  hierarchical structure  pair-wise exchange method  path planning  evolution cost constraint  
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