计算机集成制造系统 ›› 2018, Vol. 24 ›› Issue (第1): 245-263.DOI: 10.13196/j.cims.2018.01.024

• 产品创新开发技术 • 上一篇    下一篇

基于计算物流的集装箱码头集疏运虚拟机体系结构及其仿真分析

李斌   

  1. 福建工程学院交通运输学院
  • 出版日期:2018-01-31 发布日期:2018-01-31
  • 基金资助:
    国家自然科学基金资助项目(61304210);福建省自然科学基金资助项目(2017J01496);福建省高校新世纪优秀人才支持计划资助项目(闽教科(2015-54));福建工程学院科研发展基金资助项目(GY-Z160125)。

Collection and distribution virtual machines architecture of container terminal based on computational logistics and its simulation analysis

  • Online:2018-01-31 Published:2018-01-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.61304210),the Natural Science Foundation of Fujian Province,China(No.2017J01496),the Program for New Century Excellent Talents in University of Fujian Province,China(No.2015-54),and the Scientific Research Foundation of Fujian University of Technology,China(No.GY-Z160125)。

摘要: 鉴于港航业的发展使集装箱码头物流系统(CTLS)调度决策的计算复杂度不断攀升,最优解乃至高质量的满意解都难以获取,且相关模型和算法的通用性、可移植性和可扩展性较低,基于计算思维和计算透镜定义了面向CTLS的物流计算,引入计算机领域中操作系统和虚拟机(OSVM)的设计思想和运作原理,提出集装箱码头集疏运虚拟机(CTCDVM)的物流计算体系结构及其底层物流计算引擎阵列(CLCEA)的计算交换架构。随后面向某枢纽港集装箱码头的生产实例,设计和实现了CTCDVM和CLCEA的计算模型,引入OSVM中的典型控制框架和调度算法,进行了多组计算实验评估,从多个维度验证了所提CTCDVM体系结构的可行性与可信性。

关键词: 集装箱码头, 虚拟机, 计算物流, 物流计算, 可重构计算单元, 环形总线, 共享内存

Abstract: The computational complexity of scheduling and decision on Container Terminal Logistics Systems (CTLS) have continued to move up with the development of port and shipping industry.Thereupon the optimal solution even the satisfactory solution of high quality for CTLS are difficult to obtain.Furthermore,the existing models and dependent algorithms usually have the limitation of poor universality,portability and extendibility.To solve these problems,a logistics computation for CTLS based on computational thinking and computational lens was defined.The design philosophy and operating principles of Operating Systems and Virtual Machines (OSVM) in the field of computer science were introduced to present the logistics computing architecture of Container Terminal Collection and Distribution Virtual Machines (CTCDVM) and the computing switch fabric of underlying Container Logistics Computing Engine Array (CLCEA) explicitly.The computational models of CTCDVM and CLCEA were designed and realized based on the operational instance of an international container hub terminal,and groups of computational experiments were executed and evaluated.Consequently,the feasibility and creditability of the CTCDVM computing architecture was tested and verified from the multidimensional perspectives.

Key words: container terminals, virtual machines, computational logistics, logistics computation, reconfigurable computing unit, ring bus, shared memory

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