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Edge/Fog Computing Technologies for IoT Infrastructure
| Edge/Fog Computing Technologies for IoT Infrastructure |
| Autore | Yoo Seong-eun |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (231 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
5G
algorithm classification cloud computing computational offloading computing container orchestration containers crowding distance custom metrics data manager deep reinforcement learning (DRL) Docker dynamic offloading threshold edge computing evaluation framework evolutionary genetics fast implementation fog computing fog/edge computing fuzzy logic GDPR Horizontal Pod Autoscaling (HPA) hyper-angle Internet of things Internet of Things (IoT) IoT actor Kubernetes leader election load balancing LWC markov decision process (MDP) maximizing throughputs minimizing delay minimizing energy consumption multi-access edge computing multi-objective optimization n/a OpenCL orchestrator Prometheus resource management resource metrics service offloading service placement service provisioning stateful task allocation task offloading task scheduling web Web Assembly |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557714203321 |
Yoo Seong-eun
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Algorithms in Intelligent Systems
| Evolutionary Algorithms in Intelligent Systems |
| Autore | Milani Alfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (144 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
adaptive local search operator
association rules big data co-evolution constrained optimization differential evolution ensemble of constraint handling techniques evolutionary algorithms formal methods in evolutionary algorithms Gaussian mutation global continuous optimization horizontal union hybrid algorithms improved learning strategy interval concept lattice memetic particle swarm optimization mining algorithm multi-objective optimization multi-objective optimization problems n/a neural networks neuroevolution parameter analysis parameter puning particle swarm optimization particle swarm optimization (PSO) PSO self-adaptive differential evolutionary algorithms sequence traversal social network optimization stochastic optimization task allocation vertical union wireless sensor networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557623203321 |
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Milani Alfredo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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