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面向并行可重构计算的集装箱码头生产调度建模与仿真
引用本文:李 斌,杨家其.面向并行可重构计算的集装箱码头生产调度建模与仿真[J].计算机应用研究,2013,30(8):2432-2438.
作者姓名:李 斌  杨家其
作者单位:1. 武汉理工大学 交通学院,武汉 430063;福建工程学院 交通运输系,福州 350108
2. 武汉理工大学 交通学院,武汉,430063
基金项目:中国博士后科学基金面上资助项目(2012M511695); 国家教育部人文社会科学研究青年基金资助项目(11YJC630089); 福建省自然科学基金资助项目(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:将集装箱码头物流系统(container terminal logistics systems, CTLS)视为一个大规模并行处理系统, 融合计算机体系结构中的并行计算和可重构计算的思想方法, 抽象出基于属性的有阻塞动态可重构混合流水车间调度(dynamic reconfigurable hybrid flow shops with blocking based on attributes, DR-HFS-BA)模型对CTLS控制决策进行描述, 得出面向DR-HFS-BA的CTLS多层双向作业体系。该生产调度模型能够精确描述CTLS的复杂结构和作业行为, 帮助港口建立敏捷鲁棒的生产调度和性能评估决策支持平台。最后, 一个集装箱码头生产实例被仿真和分析, 验证了上述建模思想的可行性和可信性, 从而为CTLS的任务调度和资源分配提出了新的解决思路。

关 键 词:集装箱码头  生产调度  并行计算  可重构计算  混合流水车间  大规模并行处理

Modeling and simulation of containerterminal scheduling based on parallel and reconfigurable computing
LI Bin,YANG Jia-qi.Modeling and simulation of containerterminal scheduling based on parallel and reconfigurable computing[J].Application Research of Computers,2013,30(8):2432-2438.
Authors:LI Bin  YANG Jia-qi
Affiliation:1. School of Transportation, Wuhan University of Technology, Wuhan 430063, China; 2. Dept. of Transportation, Fujian University of Technology, Fuzhou 350108, China
Abstract:This paper regarded CTLS as a kind of MPP system, upon that it absiracted the DR-HFS-BA by the fusion of parallel computing and reconfigurable computing in computer architecture domain, which supposed to model the scheduling and decision-making of CTLS. It proposed thereupon a bidirectional multi-layer service framework for CTLS based on DR-HFS-BA. The model can describe the complex structure and dynamic behavior of CTLS, and is favorable for the construction of decision support platform of CTLS on scheduling and evaluation. At last, it simulated and analyzed a operational instance of CTLS which validates the feasibility and creditability of the above systematic methodology, and put forward a new solution to CTLS for task scheduling and resource allocation as a result.
Keywords:container terminal  scheduling  parallel computing(PC)  reconfigurable computing(RC)  hybrid flow shop(HFS)  massively parallel processing(MPP)
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