Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment

The fog computing paradigm is better for creating delay-sensitive applications in Internet of Things (IoT). As the fog devices are resource constrained, the deployment of diversified IoT applications requires effective ways for determining available resources. Therefore, implementing an efficient re...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 1240 - 25
Main Authors:	Baskar, R., Mohanraj, E., Saradha, M., Monika, R.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 07.01.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/705/1042 639/705/117 639/705/258 Algorithms Dwarf Mongoose optimization algorithm (DMOA) Fog computing Humanities and Social Sciences Internet of Things Internet of things (IoT) Mapping multidisciplinary Optimization algorithms Prairie Dog optimization algorithm (PDOA) Quality of service Resource management Resource scheduling Science Science (multidisciplinary) Fog computing Resource scheduling Prairie Dog optimization algorithm (PDOA) Dwarf Mongoose optimization algorithm (DMOA) Internet of things (IoT)
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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