QL-HEFT: a novel machine learning scheduling scheme base on cloud computing environment

Cloud computing is a computing model that fully utilizes the resources on the Internet to maximize the utilization of resources. Due to a large number of users and tasks, it is important to achieve efficient scheduling of tasks submitted by users. Task scheduling is one of the crucial and challengin...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 10; S. 5553 - 5570
Hauptverfasser:	Tong, Zhao, Deng, Xiaomei, Chen, Hongjian, Mei, Jing, Liu, Hong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.05.2020 Springer Nature B.V
Schlagworte:	Advances in Parallel and Distributed Computing for Neural Computing Algorithms Artificial Intelligence Classification Cloud computing Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Image Processing and Computer Vision Machine learning Microprocessors Polynomials Probability and Statistics in Computer Science Response time Scheduling Sorting algorithms Task scheduling Task scheduling Cloud computing Directed acyclic graph Makespan Reinforcement learning
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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