A graph neural networks and improved whale optimization algorithm-based approach for cloud service composition

Cloud service compositions have attracted the attention of many scholars as an important part of the cloud computing field. Currently, efficiently performing cloud service composition while meeting quality of service requirements has been one of the research challenges in service computing. On the o...

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Veröffentlicht in:	Cluster computing Jg. 28; H. 7; S. 480
Hauptverfasser:	Yin, Zuheng, Xu, Hongzhen, Liu, Aihua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2025 Springer Nature B.V
Schlagworte:	Algorithms Cloud computing Cognition & reasoning Composition Computer Communication Networks Computer Science Deep learning Energy consumption Fuzzy logic Graph neural networks Heuristic Heuristic methods Local optimization Machine learning Methods Neural networks Operating Systems Optimization algorithms Processor Architectures Quality of service Real time Semantic web User needs Historical service solutions Graph neural networks Whale optimization algorithm Cloud service composition Quality of service
ISSN:	1386-7857, 1573-7543
Online-Zugang:	Volltext
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