Open AccessResource Allocation for Cloud-Edge-End Simulation System
Author(s) -
Guoqiang Yan,
Shaojie Mao,
Yuping Li
Publication year - 2022
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 - 10.1088/1742-6596/2173/1/012007
Subject(s) - cloud computing , computer science , scheduling (production processes) , distributed computing , quality of service , dynamic priority scheduling , fair share scheduling , resource allocation , computer network , engineering , operating system , operations management
Aiming at the problem of simulating service requests and optimal scheduling during the operation of the cloud computing/edge computing environment, the real-time optimization scheduling technology of computing resources is studied, and elastic resource optimization scheduling is realized through data feature mining analysis, service load prediction, and collaborative resource management. Ensure that the simulation service quality meets the mission requirements and provide support.