Accepted Papers
An Autonomic Computing Approach for Scaling Cloud-Based Smart City Platforms
InferEdge: Characterizing Edge Inference Performance
A Hybrid Forecasting and Reinforcement Learning Approach for Latency-Constrained Scaling of Generative AI Systems
Performance Evaluation of Multi-CNIs in Fog Computing Across Ethernet and Wireless Networks
Graphpilot: A Temporal Graph Actor-Critic Autoscaler Reducing Degradation of Resource Oscillation in Microservice
Targeted and Fully Automated Updates Over LoRaWAN for Energy-Efficient Edge AI
A Self-Adaptive Framework for Predictive CPU Resource Allocation During Container Startup in Kubernetes
DTW-ABAC: A Dynamic Trust Weighted Attribute-Based Access Control Hybrid Security Model for Cloud Applications
Secure-by-Design Hardware Architecture for Real-Time IoT with Cycle-Bounded Trust and Redundancy-Aware Sensor Fusion
FedSynthesis: A Flower-based Framework for Carbon-Reduced Federated Learning
Sky Computing for Serverless: Infrastructure Assessment to Support Performance Enhancement
Splitwise: Collaborative Edge–Cloud Inference for LLMs via Lyapunov-Assisted DRL
Knowledge Graphs-Driven Intelligence for Distributed Decision Systems
Modeling Anomaly Detection in Cloud Services: Analysis of the Properties that Impact Latency and Resource Consumption
FakeInf: Selective Deep Neural Network Inference for Latency and Energy-Aware Model Serving Pipelines
Adaptive DNN Partitioning for Edge-Cloud Systems with Meta-Reinforcement Learning
Protocol-to-Model Translation Framework: Enabling Mathematically Tractable TCP Models for Autonomic Controller Design
Secure Monitoring of Confidential VMs with Isolated Agents
Adaptive and Interpretable High-level SLO-aware Auto-Scaling with Reinforcement Learning
GreenWise: Intelligent Application Migration for Containerized Machine Learning Services in the Computing Continuum
Energy-Aware Latency Optimization for Scheduling Serverless Workload in Edge Computing Environment
Mitigating Shared Storage Congestion Using Control Theory
Local Computing vs. Cloud Computing: An Empirical Study of Energy Consumption
Life-cycle Carbon Assessment of Intermittent Fog Services Fully Powered by Renewable Energy Sources
When Timeouts Fail: Revisiting Fault Detection under Resource Stress in Edge Computing
Exploring and Optimizing Moving Target Defense Strategies Using Reinforcement Learning
Time Series Models Revisited for Replica Transfer Optimization in Cloud Storage Systems