哈佛体系结构下的集装箱码头操作系统计算模型与仿真分析  

Computational model and simulation analysis for container terminal operation systems under Harvard architecture

作　　者：李斌[1,2] 杨家其[1] 

机构地区：[1]武汉理工大学交通学院,湖北武汉430063 [2]福建工程学院交通运输系,福建福州350108

出　　处：《计算机集成制造系统》2013年第9期2300-2314,共15页Computer Integrated Manufacturing Systems

基　　金：中国博士后科学基金面上资助项目(2012M511695);教育部人文社会科学研究青年基金资助项目(11YJC630089);国家自然科学基金资助项目(61304210);福建省自然科学基金目资助项目(2012J05108);福建省高校杰出青年科研人才培育计划资助项目(JA12268S)~~

摘　　要：根据面向哈佛体系结构对集装箱码头物流系统进行建模优化的思想方法,对集装箱码头操作系统的任务调度和资源分配体系机制进行了探讨,提出了一个针对该系统的计算模型。在广义计算机集成制造系统的理论框架下,将该系统的控制决策视为多控制进程间的协同并行计算,基于计算机操作系统的设计理念得出集装箱码头操作系统的计算概念视图,进而融合操作系统分层、微内核、外核、虚拟机和客户/服务器计算等设计思想,建立集装箱码头操作系统的计算模型,并给出相应的控制决策计算框架与模式。最后,利用一个典型的集装箱码头生产作业实例,融合操作系统作业组织思想,自定义多种调度策略,从任务延迟、通过能力和负载均衡等角度对港口物流作业性能进行了评估和分析,验证了所提计算模型的可行性和可信性。With the methodology of modeling and optimization for container terminal logistics systems based on Harvard architecture,the framework and mechanism of task scheduling and resource allocation in Container Terminal Operation Systems （CTOS） were discussed,and a CTOS computational model was proposed.On the fundamental principles of generalized computer integrated manufacturing systems,CTOS control decision was treated as collaborative computing between multiple control processes.Based on the design concept of computer Operating System （OS）,the conceptual perspective of CTOS was obtained.By integrating the design ideas of OS such as delamination,microkernel,exokernel,virtual machine and client/server computation,the computational model for CTOS was given,and the corresponding control decision framework and paradigm were presented.The production operation case of typical container terminal was taken as an example to self-define the multiple scheduling strategies,and the container terminal logistics service performance was evaluated and analyzed according to the task latency,throughout,load balancing and so on.The feasibility and creditability of proposed model was validated effectively.

关 键 词：集装箱码头操作系统 哈佛体系结构 计算模型 生产调度 负载均衡 

分 类 号：TP271.8[自动化与计算机技术—检测技术与自动化装置] TP278[自动化与计算机技术—控制科学与工程]