Flavia Delicato
Universidade Federal Fluminense
H-index: 40
Latin America-Brazil
Top articles of Flavia Delicato
An online ensemble method for auto-scaling NFV-based applications in the edge
2023/10/27
DYNAMIC VIRTUAL NETWORK FUNCTION PLACEMENT IN EDGE COMPUTING ENVIRONMENTS
2024/2/29
System and method for an auction-based scheme for service function chain placement
2024/2/27
Middleware for Digital Twins: A Systematic Mapping Study
2023/12/11
Distributed Auction-Based SFC Placement in a Multi-domain 5G Environment
SN Computer Science
2023/12/2
An Edge AI study for human action recognition on Industry 4.0 using Weightless Neural Networks
2023/11/14
Occupancy Prediction in Multi-Occupant IoT Environments leveraging Federated Learning
2023/11/14
A High-level Information Fusion framework using indirect sensing for Internet of Bio-Nano Things
2023/11/14
A MAPE-K and Queueing Theory Approach for VNF Auto-scaling in Edge Computing
2023/11/1
Self-Adaptation in IoT Systems for Smart Cities
2023/10/25
: Pub/sub solutions for interoperable and dynamic IoT systems
2023/10
Pietro Manzoni
H-Index: 35
Flavia Delicato
H-Index: 25
Erika Rosas
H-Index: 6
Spyridon Mastorakis
H-Index: 16
Making Cities Smarter: A Literature Review of Characteristics, Technologies, and Challenges
2023/8/6
Architecture for IoT applications based on reactive microservices: A performance evaluation
Future Generation Computer Systems
2023/8/1
Dynamic and mobility-aware vnf placement in 5g-edge computing environments
2023/6/19
Latency-capacity-and energy-aware vnf placement in edge computing environments
2023/4/27
Special issue on Distributed Intelligence at the Edge for the Future Internet of Things
Journal of Parallel and Distributed Computing
2023
A novel strategy for vnf placement in edge computing environments
Future Internet
2022/11/30
Design and Implementation of UFRJ Nautilus’ AUV Lua-A TinyML Approach
2022/9/12
Latency and energy-awareness in data stream processing for edge based iot systems
Journal of Grid Computing
2022/9
A systematic literature review on distributed machine learning in edge computing
2022/3/30
Co-Authors
