Open AccessIntelligent warehouse task information flow scheduling under fog computing environment
Author(s) -
Lei Chen,
Mingxing Jia
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1939/1/012065
Subject(s) - computer science , scheduling (production processes) , cloud computing , distributed computing , schedule , real time computing , task (project management) , architecture , warehouse , node (physics) , operating system , engineering , art , operations management , systems engineering , structural engineering , visual arts , marketing , business
Traditional cloud computing systems used in intelligent warehouses are managed in a centralized manner. Faced with more and more intelligent terminal devices in the warehouse, the resources of the intelligent warehouse cannot be fully utilized. Therefore, a distributed approach is adopted to deploy fog computing nodes near smart terminal devices to provide real-time computing response. The network architecture of intelligent warehouse based on fog computing is designed, and a real-time task scheduling model is established considering the time delay problem. In this model, an improved artificial bee colony algorithm is used to schedule the task information flow and allocate a reasonable amount of computing data to the fog nodes. The simulation results show that the error between the calculated delay and the calibrated delay on the fog node is within the specified range and can meet the requirements of different task types for the time delay.