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