yusuke1997/dblp-id-title huggingface dataset:
Task Management for Cooperative Mobile Edge Computing
Intent-Driven Data Falsification Attack on Collaborative IoT-Edge Environments
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge
Microservice-based Edge Device Architecture for Video Analytics
Semantic Privacy-Preserving for Video Surveillance Services on the Edge
Poster: Multimodal Data Analytics and Machine Learning for Software-Defined Vehicles
More Than The Sum of Its Things: Resource Sharing Across IoTs at The Edge
Demo: Emulation Platform to Build Digital Twins of Edge Computing Environments
Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing
BumbleBee: Application-aware adaptation for edge-cloud orchestration
CHA: A Caching Framework for Home-based Voice Assistant Systems
GT-Craft: A Framework for Fast Prototyping Geospatial-Based Digital Twins in Unity 3D
Gemini: a Real-time Video Analytics System with Dual Computing Resource Control
Demo: Nearby Aggressive Driving Detection
EDDL: A Distributed Deep Learning System for Resource-limited Edge Computing Environment
Empowering Digital Twin: Early Action Decision through GAN-Enhanced Predictive Frame Synthesis for Autonomous Vehicles
Cooperative Mixed Reality Leveraging Edge Computing and Communication
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
SmartMon: Misbehavior Detection via Monitoring Smart Home Automations
Poster: An Improvement on Distance based Positioning on Network Edges
Federated Learning with Heterogeneous Quantization
EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference
Poster: Lambda architecture for robust condition based maintenance with simulated failure modes
CANGuard: Practical Intrusion Detection for In-Vehicle Network via Unsupervised Learning
Poster: Unsupervised Learning for Extreme Space Weather Detection based on Spectrograms
Learning Based Edge Computing in Air-to-Air Communication Network
QoE-Based Server Selection for Mobile Video Streaming
Privacy-Preserving Public Auditing for Shared Data in Mobile Cloud Storage
Democratizing Drone Autonomy via Edge Computing
CAPLets: Resource Aware, Capability-Based Access Control for IoT
Collaborative Cloud-Edge-Local Computation Offloading for Multi-Component Applications
Multi-Hop User Equipment (UE) to UE Relays for MANET/Mesh Leveraging 5G NR Sidelink
Exploring Decentralized Collaboration in Heterogeneous Edge Training
Quantum Text Encoding for Classification Tasks
Demo: EdgeVPN.io: Open-source Virtual Private Network for Seamless Edge Computing with Kubernetes
Privacy-Preserving and Secure Divide-and-Conquer Learning
Garbage Collection for Edge Computing
Beyond Federated Learning: Survival-Critical Machine Learning
Quantum Angle Generator for Image Generation
Poster: Edge-Assisted Unsafe Driving Detection
Poster: Enhancing Autonomous Vehicles Safety Through Edge-Based Anomaly Detection
Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation
Personalized Learning with Limited Data on Edge Devices Using Federated Learning and Meta-Learning
A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks
ShapeShifter: Resolving the Hidden Latency Contention Problem in MEC
Diagnosing Clinical Diseases using an Edge-Enabled Deep Learning Technology
Hybrid Quantum-Classical Autoencoders for End-to-End Radio Communication
FedSLO: Towards SLO Guarantee for Federated Computing
Machine Learning based Discrimination for Excited State Promoted Readout
Accurate and Ubiquitous Floor Identification at the Edge using a Single Cell Tower
SecureFL: Privacy Preserving Federated Learning with SGX and TrustZone
Milestones on the Quantum Utility Highway
Bang for the Buck: Evaluating the Cost-Effectiveness of Heterogeneous Edge Platforms for Neural Network Workloads
QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation
An Analysis of Network Overhead in Distributed TinyML
Hiding in Plain Sight: A Measurement and Analysis of Kids' Exposure to Malicious URLs on YouTube
ClairvoyantEdge: Prescient Prefetching of On-demand Video at the Edge of the Network
Toward Black-box Image Extraction Attacks on RBF SVM Classification Model
Poster: Processing of Latency- and Deadline-Aware Big Data Approaches at the Edge
B 2 -Coupon: Efficient and Non-intrusive Mobile Coupon Distribution using Dual Bloom Filter
Poster: Lagrange-Based Optimized Forwarding Strategy for Information-Centric Vehicular Networks
BigMEC: Scalable Service Migration for Mobile Edge Computing
Towards Context-aware Distributed Learning for CNN in Mobile Applications
Position Paper: Renovating Edge Servers with ARM SoCs
MIRAGE: Machine Learning-based Modeling of Identical Replicas of the Jetson AGX Embedded Platform
Shepherd: Seamless Stream Processing on the Edge
The OODA Loop of Cloudlet-Based Autonomous Drones
Spatula: Efficient cross-camera video analytics on large camera networks
IEEE/ACM Symposium on Edge Computing, SEC 2023, Wilmington, DE, USA, December 6-9, 2023
MicroSplit: Efficient Splitting of Microservices on Edge Clouds
Demo: Backdoor Through the Front Door: Demonstrating Security Flaws in the Eufy Ecosystem
On Classifying Images using Quantum Image Representation
Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning
Detection and Classification of High Energy Cosmic Rays Using TinyML
Integrating Smart Traffic Lights for Enhanced Urban Air Quality in Smart Cities
Pub/Sub in the Air: A Novel Data-centric Radio Supporting Robust Multicast in Edge Environments
Exploiting Adversarial Examples to Drain Computational Resources on Mobile Deep Learning Systems
Poster: Distracted Driving Management
Industrial Edge-based Cyber-Physical Systems - Application Needs and Concerns for Realization
Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning
SODA: Protecting Proprietary Information in On-Device Machine Learning Models
TrustZone Enhanced Plausibly Deniable Encryption System for Mobile Devices
Quantum Persistent Homology for Time Series
SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning
A Data-Driven Optimal Control Decision-Making System for Multiple Autonomous Vehicles
Where is the Testbed for My Federated Learning Research?
NexusEdge: Leveraging IoT Gateways for a Decentralized Edge Computing Platform
EcoEdgeInfer: Dynamically Optimizing Latency and Sustainability for Inference on Edge Devices
Stress-Testing USB Accelerators for Efficient Edge Inference
Poster: Implementing Data Reduction at the Middle Point on the Computing Continuum
Chatbot Security and Privacy in the Age of Personal Assistants
Demo: Edge Federated Learning over a LoRa Mesh Network
Template-Aware Live Migration of Virtual Machines
Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints
Poster: Edge Computing for Deep Learning-based Sensor Multi-Target Detection
QuYBE - An Algebraic Compiler for Quantum Circuit Compression
EdgeMask: An Edge-based Privacy Preserving Service for Video Data Sharing
CroMA: Enhancing Fault-Resilience of Machine Learning-Coupled IoT Applications
Adaptive Frame-Aware Network for Driver Monitoring Systems
Quantum-enhanced Regression Analysis Using State-of-the-art QLSAs and QIPMs
Demo: Privacy-Preserving Localization for Edge-Assisted Robotic Navigation
Energy-aware Edge Federated Learning for Enhanced Reliability and Sustainability
Are We There Yet? - Use Cases and Requirements for the Industrial Metaverse
Elasticity Control for Latency-Intolerant Mobile Edge Applications
VideoJam: Self-Balancing Architecture for Live Video Analytics
Seer: A Framework for Optimizing Traffic Camera Placement and Deep Learning Inference at the Edge for Vehicle Path Reconstruction
Edge Intelligence for Beyond-5G through Federated Learning
Privacy Protection in WiFi Sensing via CSI Fuzzing
ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing
Quantum Computing Methods for Supply Chain Management
Poster: Feasibility of Runtime-Neutral Wasm Instrumentation for Edge-Cloud Workload Handover
Edge Compression: An Integrated Framework for Compressive Imaging Processing on CAVs
A Comparison Between Classical and Quantum Machine Learning for Mobile App Traffic Classification
iBranchy: An Accelerated Edge Inference Platform for loT Devices ◊
5th IEEE/ACM Symposium on Edge Computing, SEC 2020, San Jose, CA, USA, November 12-14, 2020
CWASI: A WebAssembly Runtime Shim for Inter-Function Communication in the Serverless Edge-Cloud Continuum
Fast Computation Flow Restoration with Path-Based Two-Stage Traffic Engineering
Exploring the Design Space of Efficient Deep Neural Networks
Poster: (Re)-Configuration Framework for Mission-Critical Applications in Edge Environments
Benchmarking the Accuracy of Algorithms for Memory-Constrained Image Classification
Poster: Reliable 3D Reconstruction for Ad-Hoc Edge Implementations
Demo: Human-Computable One-Time Passwords
Exploring Human and Artificial Attention Mechanisms in Driving Scenarios
Scaling Vehicle Routing Problem Solvers with QUBO-based Specialized Hardware
FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision
LevelUp: A thin-cloud approach to game livestreaming
Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics
ePulsar: Control Plane for Publish-Subscribe Systems on Geo-Distributed Edge Infrastructure
Poster: Efficient Video Instance Segmentation with Early Exit at the Edge
Demo: End-to-End Service Quality Manager for Edge Computing
Poster: Imitation Learning for Hearing Loss Detection with Cortical Speech-Evoked Responses
Caching IoT Resources in Green Brokers at the Application Layer
Clownfish: Edge and Cloud Symbiosis for Video Stream Analytics
Poster: Scaling Up Deep Neural Network optimization for Edge Inference†
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms
Rev: A Video Engine for Object Re-identification at the City Scale
Poster: Data-Aware Edge Sampling for Aggregate Query Approximation
GLAMAR: Geo-Location Assisted Mobile Augmented Reality for Industrial Automation
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing
On Balancing Latency and Quality of Edge-Native Multi-View 3D Reconstruction
Demo: OneOS - Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines
Optimizing Edge Offloading Decisions for Object Detection
FENXI: Deep-learning Traffic Analytics at the edge
Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles
Edge-Stream: a Stream Processing Approach for Distributed Applications on a Hierarchical Edge-computing System
From Tight Coupling to Flexibility: A Digital Twin Middleware Layer for the ShakeAlert System
E2EdgeAI: Energy-Efficient Edge Computing for Deployment of Vision-Based DNNs on Autonomous Tiny Drones
Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors
Hierarchical Inference at the Edge: A Batch Processing Approach
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning
A quantum algorithm for syndrome decoding of classical error-correcting linear block codes
Spiking Reservoir Computing for Temporal Edge Intelligence on Loihi
Towards Out-of-core Neural Networks on Microcontrollers
Position Paper: Towards a Robust Edge-Native Storage System
AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics
Poster: Fast GPU Inference with Unstructurally Pruned DNNs for Explainable DOC
Poster: Blockchain-Enabled Federated Edge Learning for Big Data Quality Assessment
Discovering Onion Services Through Circuit Fingerprinting Attacks
Poster: SlideCNN: Deep Learning for Auditory Spatial Scenes with Limited Annotated Data
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge
Colibri: Efficient Collection of Fine-Grained Resource Metrics Necessary for Mobile Edge Computing
Poster: User-space Networking Libraries & Control Plane Negotiations for Seamless Multi-connectivity
Meunik: Rethinking Virtual Machine Memory Resource Management for Unikernel-Based VMs
Righteous: Automatic Right-Sizing for Complex Edge Deployments
Poster: Robust Edge-Based Detection of Bot Attacks Through Federated Learning
Accelerator-Aware Kubernetes Scheduler for DNN Tasks on Edge Computing Environment
Preva: Protecting Inference Privacy through Policy-based Video-frame Transformation
Poster: Enabling Flexible Edge-assisted XR
SecFePAS: Secure Facial-Expression-Based Pain Assessment with Deep Learning at the Edge
Multiangle QAOA Does Not Always Need All Its Angles
Poster: An Accelerator for Fast Container-based Applications Deployment on the Edge
Poster: LiDAR Utilisation for Enhanced Vehicle Capabilities
Blockchain-Based Runtime Attestation Against Physical Fault Injection Attacks on Edge Devices
FLiCR: A Fast and Lightweight LiDAR Point Cloud Compression Based on Lossy RI
Proactive Microservice Placement and Migration for Mobile Edge Computing
Spiking Neural Encoding Schemes and STDP Training Algorithms for Edge Computing
EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds
Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs
Distributed Tracking and Verifying: A Real-Time and High-Accuracy Visual Tracking Edge Computing Framework for Internet of Things
TinyEdge: Enabling Rapid Edge System Customization for IoT Applications
Poster: Configuration Management for Internet Services at the Edge: A Data-Driven Approach
Fogify: A Fog Computing Emulation Framework
Towards a Distributed Data Mesh Model for the IoT-Edge-Cloud Continuum in Smart Cities
DICE: Dynamic In-Situ Control for Edge-Based Applications
Accelerating Privacy-Preserving Image Retrieval with Multi-Index Hashing
Security Analysis of Docker Containers for ARM Architecture
Poster: Profiling Edge Resource Demands of Zoom Maneuvers for Autonomous Unmanned Aerial Vehicles
Poster: Autonomous mobile robot for indoor enhanced living
Performance Analysis of Lightweight Container Orchestration Platforms for Edge-Based IoT Applications
Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning
Rumor Detection of COVID-19 Pandemic on Online Social Networks
Tiny, Distributed, and Eco-Optimized: Proposal of Design Guidelines for Environmentally Friendly ML Devices
How BlockChain Can Help Enhance The Security And Privacy in Edge Computing?
Demo: A Multi-Perspective Video Streaming System with Privacy Preservation in Trauma Room
A Decomposed Deep Training Solution for Fog Computing Platforms
Characterizing Variability in Heterogeneous Edge Systems: A Methodology & Case Study
Empowering Trustworthy Client Selection in Edge Federated Learning Leveraging Reinforcement Learning
Poster: Edge-Assisted Over-the-Air Software Updates
On Tiny Feature Engineering: Towards an Embedded EMG-Based Hand Gesture Recognition Model
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance
Congestion-free Multiflow Quantum Tree Network with Logarithmic Overhead
Camera: Churn-Tolerant Mutual Exclusion for the Edge
Smart Path Planner: Enhancing Personalized Navigation and Environmental Awareness
Poster: Clipped Quantization and Huffman Coding for Efficient Secure Transfer in Federated Learning
Towards Performance Clarity of Edge Video Analytics
Improving the Quality of Inference for Applications using Chained DNN Models during Edge Server Handover
IoTReplay: Troubleshooting COTS IoT Devices with Record and Replay
Quantum Data Reduction with Application to Video Classification
A Quantum-Classical Hybrid Method for Image Classification and Segmentation
CloudSLAM: Edge Offloading of Stateful Vehicular Applications
Demo: Spiderweb - Reliability of AI on the Edge, Effects of Hardware Disturbances on Machine Learning Software
Towards Online Learning and Concept Drift for Offloading Complex Event Processing in the Edge
Energy-Optimal Sampling for Edge Computing Feedback Systems: Aperiodic Case
Poster: Towards Efficient Multilayer Collaboration for CAV Applications
Poster: Energy-Aware Partitioning for Edge AI
RAVAS: Interference-Aware Model Selection and Resource Allocation for Live Edge Video Analytics
MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning
On Combining Publish/Subscribe with Append-only Logs for IoT Data
Middleware Support for Edge Data Analytics Over Heterogeneous Scenarios
Sparse Bitmap Compression for Memory-Efficient Training on the Edge
ExPECA: An Experimental Platform for Trustworthy Edge Computing Applications
Fooling Edge Computation Offloading via Stealthy Interference Attack
Effects of Geohashing and K-Means Clustering on Uniqueness in a Mobility Dataset
Classification With Unimodular Matrices In Hybrid Models
DiCE-M: Distributed Code Generation and Execution for Marine Applications - An Edge-Cloud Approach
Poster: Dependency-Aware Operator Placement of Distributed Stream Processing IoT Applications Deployed at the Edge
Low-Energy On-Device Personalization for MCUs
Energy Time Fairness: Balancing Fair Allocation of Energy and Time for GPU Workloads
Characterizing and Accelerating End-to-End EdgeAI Inference Systems for Object Detection Applications
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices
BEAF: A Blockchain and Edge Assistant Framework with Data Sharing for IoT Networks
Poster: Real-Time Object Substitution for Mobile Diminished Reality with Edge Computing
TAES: Two-factor Authentication with End-to-End Security against VoIP Phishing
An Efficient Data Transmission Framework for Connected Vehicles
Identification of security threats, safety hazards, and interdependencies in industrial edge computing
Opportunities for Optimizing the Container Runtime
Poster: Scalable Quantum Convolutional Neural Networks for Edge Computing
Secure KNN Set Similarity Search in Outsourced Cloud Environments
Poster: Ensemble Federated Edge Learning for Recommender Systems
Exact Memory- and Communication-aware Scheduling of DNNs on Pipelined Edge TPUs
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge
An Accurate and Efficient Clustered Federated Learning for Mobile Edge Devices
OneOS: Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines
Time Minimization in Hierarchical Federated Learning
Edge-Assisted Collaborative Perception in Autonomous Driving: A Reflection on Communication Design
Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression
Poster: EdgeShell - A language for composing edge applications
DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge
MARbLE: Multi-Agent Reinforcement Learning at the Edge for Digital Agriculture
AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems
Demo: Emulating Geo-Distributed Fog Services
NanoLambda: Implementing Functions as a Service at All Resource Scales for the Internet of Things
Towards Open and Cross Domain Edge Emulation - The AdvantEDGE Platform
Quantized Reservoir Computing on Edge Devices for Communication Applications
Edge-Aware Dual Branch Network for Nucleus Instance Segmentation
Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT Devices
A Contextual Bi-armed Bandit Approach for MPTCP Path Management in Heterogeneous LTE and WiFi Edge Networks
Federated Learning with Infrastructure Resource Limitations in Vehicular Object Detection
Poster: Opportunistic Edge Computing with EVPNs
Enabling Accurate and Timely Prognostics for Aircraft Turbofan Engines
Smart Split: Leveraging TinyML and Split Computing for Efficient Edge AI
ML-ACE: Machine Learning Admission Control at the Edge
Towards a Scalable Architecture for Building Digital Twins at the Edge
Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning
The Performance Argument for Blockchain-based Edge DNS Caching
Testing Code Generators: a Case Study on Applying USE, EFinder and Tracts in Practice
An NMF Solution to the State Elimination Case at the TTC 2017
An NMF Solution to the Families to Persons Case at the TTC 2017
Generation of Large Random Models for Benchmarking
SPO-Rewriting of Constrained Partial Algebras
Transforming Truth Tables to Binary Decision Diagrams Using Relational Reference Attribute Grammars
A System Modeling Approach to Enhance Functional and Software Development
An NMF Solution to the TTC 2019 Live Case
Solving the TTC Model Execution Case with FunnyQT
Proceedings of the 2nd Workshop on View-Based, Aspect-Oriented and Orthographic Software Modelling, VAO@STAF 2014, York, United Kingdom, July 22, 2014
The SDMLib Solution to the TTC 2017 State Elimination Case
A Family of Domain-Specific Languages for Specifying Civilian Missions of Multi-Robot Systems
Towards Model-Driven Software Language Modernization
DEIS: Dependability Engineering Innovation for Cyber-Physical Systems
Model Based Development of Data Integration in Graph Databases Using Triple Graph Grammars
Solving the TTC FIXML Case with FunnyQT
Decomposition Without Regret (Poster)
Model-Driven Security with A System of Aspect-Oriented Security Design Patterns
Coalgebraic Aspects of Bidirectional Computation
Step 0: An Idea for Automatic OCL Benchmark Generation
Auto-generation of Model Visitor Frameworks
LinTraP: Primitive Operators for the Execution of Model Transformations with LinTra
Solving the TTC Movie Database Case with FunnyQT
Joint Proceedings of the STAF 2025 Workshops: OCL, OOPSLE, LLM4SE, ICMM, AgileMDE, AI4DPS, and TTC co-located with the International Conference on Software Technologies: Applications and Foundations (STAF 2025), Koblenz, Germany, June 10-13, 2025
Generating Efficient Predictive Shift-Reduce Parsers for Hyperedge Replacement Grammars
Some Narrow and Broad Challenges in MDD
Model driven engineering in finance: Bond valuation, from formulae to code
Modelling by the People, for the People
On the Need for Artifact Models in Model-Driven Systems Engineering Projects
Technical Obsolescence Management Strategies for Safety-Related Software for Airborne Systems
Approach to Define Highly Scalable Metamodels Based on JSON
Truth Tables to Binary Decision Diagrams in Modern ATL
Research directions for agile model-driven engineering
A Simulation Framework to Analyze Knowledge Exchange Strategies in Distributed Self-adaptive Systems
Solving the Families to Persons Case Using EVL+Strace
Injecting Execution Traces into a Model-Driven Framework for Program Analysis
Towards Platform Independent Database Modelling in Enterprise Systems
Reasoning about Properties with Abstract State Machines
MONDO-SAM: A Framework to Systematically Assess MDE Scalability
Model-driven Video Decoding: An Application Domain for Model Transformations
Optimistic Versioning for Conflict-tolerant Collaborative Blended Modeling
Proceedings of the First Workshop on Patterns in Model Engineering, PAME 2015, co-located with the 3rd International Conference on Software Technologies: Applications and Foundations (STAF 2015), L'Aquila, Italy, July 21, 2015
Attributed Graph Transformation via Rule Schemata: Church-Rosser Theorem
A Proposal for a Common Representation Language for MDE Artifacts and Settings
Proceedings of the 1st International Workshop on Model-Driven Robot Software Engineering co-located with International Conference on Software Technologies: Applications and Foundations, MORSE@STAF 2014, York, UK, July 21, 2014
The ATL/EMFTVM Solution to the Train Benchmark Case
A Method for Aspect-oriented Meta-Model Evolution
Learn PAd : Collaborative and Model-based Learning in Public Administrations
SICOMORo-CM: Development of Trustworthy Systems via Models and Advanced Tools
Demo: Co-simulation of UAVs with INTO-CPS and PVSio-web
Using Abstraction with Interaction Sequences for Interactive System Modelling
Hypersonic: Model Analysis and Checking in the Cloud
Hawk Solutions to the TTC 2018 Social Media Case
SimulateIoT-Federations: Domain Specific Language for designing and executing IoT simulation environments with Fog and Fog-Cloud federations (Poster)