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

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.