Optoelectronic Task Processing Based on Multilevel Collaborative Computing Networks: an Optimization-based Approach

This paper explores the problem of optoelectronic task processing based on multilevel collaborative computing networks. The core keywords of the research include optoelectronic task processing, edge computing, cloud computing, and computational offloading. The aim of the article is to investigate how to efficiently process optoelectronic tasks in a multilevel collaborative computing network through an optimization approach. We propose a distribution-based algorithm to solve the minimum overhead of optoelectronic task processing. Further, we propose an entropy decision-based algorithm to improve existing algorithms to avoid falling into local optimal solutions.