nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A comparative analysis of simulators for the Cloud to Fog continuum
|
Perez Abreu, David |
|
|
101 |
C |
p. |
artikel |
2 |
A fog computing model for implementing motion guide to visually impaired
|
Zhu, Jinhui |
|
|
101 |
C |
p. |
artikel |
3 |
Architecture and performance evaluation of distributed computation offloading in edge computing
|
Cicconetti, Claudio |
|
|
101 |
C |
p. |
artikel |
4 |
A survey and taxonomy of simulation environments modelling fog computing
|
Markus, Andras |
|
|
101 |
C |
p. |
artikel |
5 |
Cloud-Fog-based approach for Smart Grid monitoring
|
Forcan, Miodrag |
|
|
101 |
C |
p. |
artikel |
6 |
Deep recurrent neural network for IoT intrusion detection system
|
Almiani, Muder |
|
|
101 |
C |
p. |
artikel |
7 |
Design and exploration of load balancers for fog computing using fuzzy logic
|
Singh, Simar Preet |
|
|
101 |
C |
p. |
artikel |
8 |
Dynamic decision support for resource offloading in heterogeneous Internet of Things environments
|
Jaddoa, Ali |
|
|
101 |
C |
p. |
artikel |
9 |
Editorial Board
|
|
|
|
101 |
C |
p. |
artikel |
10 |
Enabling multiple health security threats detection using mobile edge computing
|
Al-Zinati, Mohammad |
|
|
101 |
C |
p. |
artikel |
11 |
Fog and cloud collaboration to perform virtual simulation experiments
|
Al-Zoubi, Khaldoon |
|
|
101 |
C |
p. |
artikel |
12 |
Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility
|
Peralta, Goiuri |
|
|
101 |
C |
p. |
artikel |
13 |
5GPy: A SimPy-based simulator for performance evaluations in 5G hybrid Cloud-Fog RAN architectures
|
Tinini, Rodrigo Izidoro |
|
|
101 |
C |
p. |
artikel |
14 |
Machine learning-Based traffic offloading in fog networks
|
Zaharia, George-Eduard |
|
|
101 |
C |
p. |
artikel |
15 |
Mercury: A modeling, simulation, and optimization framework for data stream-oriented IoT applications
|
Cárdenas, Román |
|
|
101 |
C |
p. |
artikel |
16 |
MobFogSim: Simulation of mobility and migration for fog computing
|
Puliafito, Carlo |
|
|
101 |
C |
p. |
artikel |
17 |
“Modeling and simulation of fog computing”
|
Karatza, Helen D. |
|
|
101 |
C |
p. |
artikel |
18 |
Modelling and simulation of secure energy aware fog sensing systems
|
Niewiadomska-Szynkiewicz, Ewa |
|
|
101 |
C |
p. |
artikel |
19 |
Neural network model as Internet of Things congestion control using PID controller and immune-hill-climbing algorithm
|
Quwaider, Muhannad |
|
|
101 |
C |
p. |
artikel |
20 |
Simulating FogDirector Application Management
|
Forti, Stefano |
|
|
101 |
C |
p. |
artikel |
21 |
Simulation of watchdog placement for cooperative anomaly detection in Bluetooth Mesh Intrusion Detection System
|
Krzysztoń, Mateusz |
|
|
101 |
C |
p. |
artikel |
22 |
SMADA-Fog: Semantic model driven approach to deployment and adaptivity in fog computing
|
Petrovic, Nenad |
|
|
101 |
C |
p. |
artikel |
23 |
Sphere: Simulator of edge infrastructures for the optimization of performance and resources energy consumption
|
Fernández-Cerero, Damián |
|
|
101 |
C |
p. |
artikel |
24 |
Using cloud and fog computing for large scale IoT-based urban sound classification
|
Baucas, Marc Jayson |
|
|
101 |
C |
p. |
artikel |