Paper-Conference

CRAFTER: Causality-based Self-Adaptation for Autonomous IoT Systems
This paper presents CRAFTER, an automated framework for designing and deploying self-adaptive IoT systems using Causal Reinforcement …
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CRAFTER: Causality-based Self-Adaptation for Autonomous IoT Systems
Performance Prediction of Data-Rebalancing Actions in Sharded NoSQL Clusters
Scalable storage systems typically provide mechanisms for re-distributing data over time to ensure a balanced storage allocation. Such …
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Performance Prediction of Data-Rebalancing Actions in Sharded NoSQL Clusters
Profiling Neural Network Partitioning Strategies for Inference across the Computing Continuum
The increasing adoption of neural networks in edge applications has created a need for efficient inference across heterogeneous …
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Profiling Neural Network Partitioning Strategies for Inference across the Computing Continuum
Memory-Aware Federated Learning for Anomaly Detection Over IoT Data Streams
Internet of Things (IoT) / Edge devices produce continuous data streams while operating under limited storage and communication …
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Memory-Aware Federated Learning for Anomaly Detection Over IoT Data Streams
Arena: A Kubernetes-based Testbed for Evaluating Application Deployment across the Computing Continuum
This paper introduces Arena, a Kubernetes-based testbed for evaluating application deployment across computing continuum environments …
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Arena: A Kubernetes-based Testbed for Evaluating Application Deployment across the Computing Continuum
PSMark: A Distributed IoT Benchmark for Publish/Subscribe Under Domain-Based Workloads
The Publish/Subscribe (pub/sub) paradigm is widely used in the Internet of Things (IoT). Standalone sensors, wearables, and other …
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PSMark: A Distributed IoT Benchmark for Publish/Subscribe Under Domain-Based Workloads
Architectural Foundations for Collaborative Machine Learning in Federated Data Spaces
Data spaces enable organisations to expose data and services without relinquishing control, yet running Machine Learning (ML) workflows …
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Architectural Foundations for Collaborative Machine Learning in Federated Data Spaces
Network-Aware Path Planning for Autonomous Mobile Robots in Industrial Environments
Autonomous Mobile Robots (AMRs) in industrial environments require reliable wireless connectivity for coordination, control, and safety …
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Network-Aware Path Planning for Autonomous Mobile Robots in Industrial Environments
A Context-aware Benchmarking Approach for Scenario-based Evaluation of Smart Devices
Understanding how smart devices behave under real-world conditions remains challenging, as existing benchmarking tools often isolate …
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A Context-aware Benchmarking Approach for Scenario-based Evaluation of Smart Devices
Unlocking AIoT Efficiency in the Computing Continuum - the PANDORA Framework
As Internet of Things (IoT) and IoT-Edge-Cloud continuum technologies evolve, physical environments are increasingly embedded with …
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Unlocking AIoT Efficiency in the Computing Continuum - the PANDORA Framework