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A container terminal logistics computational architecture with MPSoC distributed cooperative computing perspective

机译:基于MPSoC分布式协同计算的集装箱码头物流计算架构

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The systematic solutions to planning and scheduling for container terminal logistics systems (CTLS) have been scarce owing to their high complexity and strong randomness. This paper extended the past research on modeling CTLS with computer composition principles and architecture. The comparability and the further mapping relationships between CTLS and multi-processor system-on-chip (MPSoC) were discussed at great length within the theoretical viewpoints of computational thinking. Whereafter a container terminal logistics computational architecture was put forward for scheduling and execution using the perspective of MPSoC, which was established on the conceptual framework and fundamental principles of distributed, parallel, and cooperative computing in essence. Finally, the approach was demonstrated by investigating the stress testing, load balancing and process behavior of a typical container terminal logistics service case in contrast with the previous work based on the comprehensive computational experiments.
机译:由于集装箱码头物流系统(CTLS)的高度复杂性和强烈的随机性,因此缺乏用于计划和调度的系统解决方案。本文扩展了过去使用计算机组成原理和体系结构对CTLS建模的研究。在计算思想的理论观点中,对CTLS与多处理器片上系统(MPSoC)之间的可比性和进一步的映射关系进行了详尽的讨论。随后,从MPSoC的角度提出了集装箱码头物流计算体系结构,以进行调度和执行,该体系结构本质上建立在分布式,并行和协作计算的概念框架和基本原理的基础上。最后,通过与典型的集装箱码头物流服务案例的压力测试,负载平衡和过程行为进行对比,与先前基于综合计算实验的工作进行对比,证明了该方法。

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