All Stories

  1. EdgeSynapse: Towards Leaky-Spike Transmission for Sustainable Edge Sensing
  2. Reactive and Proactive Migration for Edge AI Training on Energy-Harvesting, Intermittently Powered Devices
  3. Targeted and Fully Automated Updates Over LoRaWAN for Energy-Efficient Edge AI
  4. Secure-by-Design Hardware Architecture for Real-Time IoT with Cycle-Bounded Trust and Redundancy-Aware Sensor Fusion
  5. Distributed Neuromorphic Edge Computing: Theory and Applications in Environmental Monitoring
  6. Performance Analysis of AI-Driven Security Models in the Cloud-Edge Continuum for Monitoring Critical Infrastructures
  7. Towards Enhanced AI-Driven Security in Monitoring Systems with Low-Cost IoT Devices
  8. Revisiting Edge AI: Opportunities and Challenges
  9. Beyond Von Neumann in the Computing Continuum: Architectures, Applications, and Future Directions
  10. Machine Learning Workflows in the Computing Continuum for Environmental Monitoring
  11. The promise of neuromorphic edge AI for rural environmental monitoring
  12. Sustainable Environmental Monitoring via Energy and Information Efficient Multinode Placement
  13. Cost-Aware Neural Network Splitting and Dynamic Rescheduling for Edge Intelligence
  14. Experiences in Architectural Design and Deployment of eHealth and Environmental Applications for Cloud-Edge Continuum
  15. FedCD: Personalized Federated Learning via Collaborative Distillation
  16. ARES: Reliable and Sustainable Edge Provisioning for Wireless Sensor Networks
  17. Ideas for post-Moore era of distributed systems.
  18. Multiagent Bayesian Deep Reinforcement Learning for Microgrid Energy Management Under Communication Failures
  19. Edge offloading for microservice architectures
  20. Roadmap for edge AI
  21. The Many Faces of Edge Intelligence
  22. Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services
  23. Staleness Control for Edge Data Analytics
  24. Simulators and emulators for edge computing
  25. Performance evaluation of geographically distributed machine learning
  26. Staleness Control for Edge Data Analytics
  27. Reliability Management for Blockchain-Based Decentralized Multi-Cloud
  28. EFPO
  29. Addressing Application Latency Requirements through Edge Scheduling
  30. Fuzzy Handoff Control in Edge Offloading
  31. Towards Edge Benchmarking: A Methodology for Characterizing Edge Workloads
  32. Consistency of the Fittest: Towards Dynamic Staleness Control for Edge Data Analytics
  33. Dependency Mining for Service Resilience at the Edge
  34. A Decentralized Replica Placement Algorithm for Edge Computing
  35. Scheduling Latency-Sensitive Applications in Edge Computing
  36. Quality of Service Channelling for Latency Sensitive Edge Applications
  37. Network-aware embedding of virtual machine clusters onto federated cloud infrastructure
  38. Modeling and Optimization of Resource Allocation in Distributed Clouds
  39. Subgraph Matching for Resource Allocation in the Federated Cloud Environment
  40. An overview of model checking practices on verification of PLC software
  41. Improving Resource Utilization in Cloud Environments using Application Placement Heuristics
  42. Utilization of Method Graphs to Measure Cohesion in Object Oriented Software
  43. Mobile Multi-domain Search over Structured Web Data
  44. Feature selection for collective classification