Big data-driven scheduling optimization algorithm for Cyber–Physical Systems based on a cloud platform
Abstract
In this paper, we study big data-driven Cyber–Physical Systems (CPS) through cloud platforms and design scheduling optimization algorithms to improve the efficiency of the system. A task scheduling scheme for large-scale factory access under cloud–edge collaborative computing architecture is proposed. The method firstly merges the directed acyclic graphs on cloud-side servers and edge-side servers; secondly, divide the tasks using a critical...
Paper Details
Title
Big data-driven scheduling optimization algorithm for Cyber–Physical Systems based on a cloud platform
Published Date
Jan 1, 2022
Journal
Volume
181
Pages
173 - 181
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