基于聚类分析的C4ISR系统服务关键要素自动提取方法  

Research on automatic identification method for key elements of service in C4ISR based on clustering

作　　者：罗爱民[1] 施鼎 

机构地区：[1]国防科技大学信息系统与管理学院信息系统工程重点实验室,湖南长沙410073

出　　处：《系统工程与电子技术》2016年第5期1081-1085,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金(71171197)资助课题

摘　　要：从业务模型中发现和识别业务层服务是面向服务架构系统设计的关键活动。为面向服务架构设计,提出了一种基于聚类分析的自动化服务提取方法。该方法将服务提取问题转换为多目标优化求解的问题,以C/U矩阵业务模型为基础,综合考虑服务设计中耦合度、内聚度、重用性、可维护性等原则,构建优化设计的目标函数,并提出模拟退火的求解方法。最后通过案例进行验证。A key process in the design of the service oriented architecture （SOA） system is to identify appli- cation level service from business models. An automated service identification method is provided based on clus- tering. Based on the business model of the C/U matrix, service identification is formulated as a multi-objective optimization problem. An optimization objective function is presented that derives service design principles, such as coupling, cohesion, reusability and maintainability, and the solving method of the simulated annealing optimization is provided. A case is given to illustrate the method.

关 键 词：服务 聚类 耦合度 内聚度 

分 类 号：TP303[自动化与计算机技术—计算机系统结构]