AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid

Massive computational resources are required by a booming number of artificial intelligence (AI) services in the communication network of the smart grid. To alleviate the computational pressure on data centers, edge computing first network (ECFN) can serve as an effective solution to realize distrib...

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Veröffentlicht in:	Future internet Jg. 16; H. 9; S. 312
Hauptverfasser:	Zou, Jing, Xin, Peizhe, Wang, Chang, Zhang, Heli, Wei, Lei, Wang, Ying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2024
Schlagworte:	AI services Algorithms Artificial intelligence Bandwidths Collaboration Communication computational resource scheduling Computer centers Costs Data centers data parallelism Deep learning distributed model training dynamic scheduling Edge computing edge computing first network Efficiency Energy consumption Heuristic Integer programming Linear programming Machine learning Mixed integer Multiple objective analysis Parallel processing Resource scheduling Resource utilization Run time (computers) Scheduling Smart grid Streaming media Task scheduling
ISSN:	1999-5903, 1999-5903
Online-Zugang:	Volltext
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