An Improved Chaotic Bat Swarm Scheduling Learning Model on Edge Computing

An Improved Chaotic Bat Swarm Scheduling Learning Model on Edge Computing

Edge computing has strong real-time and big data interaction processing requirements. The long scheduling time and load imbalance among edge nodes and edge servers are the key problems of edge computing. The current cloud computing scheduling algorithms all have balance problems between algorithm co...

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Bibliographic Details
Main Authors: Chengfeng Jian, Jiawei Chen, Jing Ping, Meiyu Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Edge computing
collaborative scheduling
task scheduling
second-order oscillation mechanisms
improved chaotic bat algorithm
LSTM
Online Access:https://ieeexplore.ieee.org/document/8704178/

Internet

https://ieeexplore.ieee.org/document/8704178/

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