Multiobjective Task Scheduling in Cloud Environment Using Decision Tree Algorithm

In recent years, Cloud computing has been developed and become the foundation of a wide range of applications. It allows users to access a catalog of standardized services and respond to their business needs flexibly and adaptively, in the event of unforeseen demands, paying solely for the consumpti...

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Veröffentlicht in:	IEEE access Jg. 10; S. 36140 - 36151
Hauptverfasser:	Mahmoud, Hadeer, Thabet, Mostafa, Khafagy, Mohamed H., Omara, Fatma A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Cloud computing Comparative studies Customer satisfaction data dependency decision tree Decision trees energy consumption Entropy of solution Heuristic algorithms load balancing Load management Machine learning makespan Multiple objective analysis Performance evaluation Resource management Resource utilization Scheduling Task analysis Task scheduling Virtual environments
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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