Abstract
Aiming at the problem that the current power cloud resource scheduling is inefficient and time-consuming, a large-scale power cloud resource scheduling algorithm in an edge computing environment is proposed. Firstly, the resource management method of large-scale power clouds is optimized. Considering the resource sharing and task scheduling security requirements between secondary nodes, and combined with edge computing technology, the resource distribution management and scheduling algorithm of the power cloud are optimized. Finally, the experiment proves that the resource scheduling time of a large-scale power cloud resource scheduling algorithm under an edge computing environment is reduced by more than 15 minutes in the actual application process, And the scheduling effect is also better than the traditional method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
