MOTORS: multi-objective task offloading and resource scheduling algorithm for heterogeneous fog-cloud computing scenario

Along with the rising popularity of pay-as-you-go cloud services, many businesses and communities are deploying their business or scientific workflow applications on cloud-based computing platforms. The primary responsibility of cloud service providers is to reduce the monetary cost and execution ti...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	The Journal of supercomputing Jg. 80; H. 15; S. 22315 - 22361
Hauptverfasser:	Shukla, Prashant, Pandey, Sudhakar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2024 Springer Nature B.V
Schlagworte:	Automation Cloud computing Clustering Compilers Computation offloading Computer Science Cooperation Effectiveness Energy consumption Genetic algorithms Internet of Things Interpreters Multiple objective analysis Optimization Processor Architectures Programming Languages Real time Resource management Resource scheduling Resource utilization Scheduling Search algorithms Task complexity Workflow software Fog-cloud computing FDTCO Resource scheduling HORSA MOTORS Task offloading
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!