Editorial Board
Machine learning based photovoltaic energy prediction scheme by augmentation of on-site IoT data
Towards high performance homomorphic encryption for inference tasks on CPU: An MPI approach
LA-MDPF: A forwarding strategy based on learning automata and Markov decision process in named data networking
A Lyapunov optimization-based online scheduling algorithm for service provisioning in cloud computing
Towards cost-aware VM migration to maximize the profit in federated clouds
An out-of-core method for GPU image mapping on large 3D scenarios of the real world
MSPPIR: Multi-Source Privacy-Preserving Image Retrieval in cloud computing
BatchUp: Achieve fast TCAM update with batch processing optimization in SDN
Local & Federated Learning at the network edge for efficient predictive analytics
A unified framework to improve the interoperability between HPC and Big Data languages and programming models
Flowlet-level multipath routing based on graph neural network in OpenFlow-based SDN
SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system
Where do all my smart home data go? Context-aware data generation and forwarding for edge-based microservices over shared IoT infrastructure
EKnad: Exploit Kits’ network activity detection
Trustable service discovery for highly dynamic decentralized workflows
UAV-based MEC-assisted automated traffic management scheme using blockchain
Reliable data delivery in ICN-IoT environments
A novel time-slotted LoRa MAC protocol for scalable IoT networks
Proximal Instance Aggregator networks for explainable security vulnerability detection
Noise2Weight: On detecting payload weight from drones acoustic emissions
A distributed and incremental algorithm for large-scale graph clustering
A blockchain-based protocol for tracking user access to shared medical imaging
Cooperative multi-function approach: A new strategy for autonomous ground robotics
Big data architecture for connected vehicles: Feedback and application examples from an automotive group
Mining trading patterns of pyramid schemes from financial time series data
Towards automatic model specialization for edge video analytics
Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence
A systematic literature review of IoT time series anomaly detection solutions
Pedestrian safety using the Internet of Things and sensors: Issues, challenges, and open problems
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases
