Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

The applications of the Internet of Things in different areas and the resources that demand these applications are on the increase. However, the limitations of the IoT devices such as processing capability, storage, and energy are challenging. Computational offloading is introduced to ameliorate the...

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Veröffentlicht in:	Journal of cloud computing : advances, systems and applications Jg. 11; H. 1; S. 1 - 17
Hauptverfasser:	Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Rahiman, Amir Rizaan Abdul
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 04.06.2022 Springer Nature B.V SpringerOpen
Schlagworte:	Attribute reduction Augmented reality Computation offloading Computer Communication Networks Computer Science Computer System Implementation Computer Systems Organization and Communication Networks Decomposition Electronic devices Energy consumption Energy storage Genetic algorithms Information Systems Applications (incl.Internet) Internet of Things Java Mobile edge computing Optimization Particle swarm optimization Reduction Response time (computers) Software Engineering/Programming and Operating Systems Special Purpose and Application-Based Systems Task and resource scheduling Task scheduling Computation offloading Task and resource scheduling Attribute reduction Mobile edge computing
ISSN:	2192-113X, 2192-113X
Online-Zugang:	Volltext
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