An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment

The Internet of Things (IoT) is constantly evolving. The variety of IoT applications has caused new demands to emerge on users’ part and competition between computing service providers. On the one hand, an IoT application may exhibit several important criteria, such as deadline and runtime simultane...

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Veröffentlicht in:	Computing Jg. 106; H. 1; S. 109 - 137
Hauptverfasser:	Khaledian, Navid, Khamforoosh, Keyhan, Akraminejad, Reza, Abualigah, Laith, Javaheri, Danial
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Vienna Springer Vienna 01.01.2024 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Cloud computing Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Deadlines Edge computing Energy consumption Information Systems Applications (incl.Internet) Internet of Things Particle swarm optimization Regular Paper Scheduling Simulated annealing Software Engineering Workflow Fog computing Deadline Energy efficiency 68M20 Metaheuristic algorithm Workflow scheduling Particle swarm optimization
ISSN:	0010-485X, 1436-5057
Online-Zugang:	Volltext
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