Image de couverture de livre

Service Orchestration in the Computing Continuum: Structural Challenges and Vision

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sedlak, Boris, Pujol, Víctor Casamayor, de Abril, Ildefons Magrans, Donta, Praveen Kumar, Toosi, Adel N., Dustdar, Schahram
Format:	Preprint
Publié:	2026
Sujets:	Distributed, Parallel, and Cluster Computing Emerging Technologies Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Equilibrium in the Computing Continuum through Active Inference
par: Sedlak, Boris, et autres
Publié: (2023)

Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods
par: Sedlak, Boris, et autres
Publié: (2025)

Adaptive Stream Processing on Edge Devices through Active Inference
par: Sedlak, Boris, et autres
Publié: (2024)

Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services
par: Wang, Zihang, et autres
Publié: (2026)

Visual Insights into Agentic Optimization of Pervasive Stream Processing Services
par: Sedlak, Boris, et autres
Publié: (2026)

Performance Measurements in the AI-Centric Computing Continuum Systems
par: Donta, Praveen Kumar, et autres
Publié: (2025)

Synergizing Monetization, Orchestration, and Semantics in Computing Continuum
par: Dehury, Chinmaya Kumar, et autres
Publié: (2025)

Distributed Intelligence in the Computing Continuum with Active Inference
par: Pujol, Victor Casamayor, et autres
Publié: (2025)

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum
par: Morichetta, Andrea, et autres
Publié: (2025)

A Conflict-Aware Resource Management Framework for the Computing Continuum
par: Popescu-Vifor, Vlad, et autres
Publié: (2025)

Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems
par: Lapkovskis, Alfreds, et autres
Publié: (2025)

Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices
par: Sedlak, Boris, et autres
Publié: (2025)

Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems
par: Saleh, Alaa, et autres
Publié: (2026)

CommunityAI: Towards Community-based Federated Learning
par: Murturi, Ilir, et autres
Publié: (2023)

Resilient by Design -- Active Inference for Distributed Continuum Intelligence
par: Donta, Praveen Kumar, et autres
Publié: (2025)

Orchestrating Serverless Applications in the Edge Cloud Space Continuum: What Breaks and What is Next?
par: Malazi, Hadi Tabatabaee, et autres
Publié: (2026)

Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams
par: Guan, Jinglong, et autres
Publié: (2023)

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
par: Danilenka, Anastasiya, et autres
Publié: (2024)

QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum
par: Čilić, Ivan, et autres
Publié: (2024)

IntentContinuum: Using LLMs to Support Intent-Based Computing Across the Compute Continuum
par: Akbari, Negin, et autres
Publié: (2025)

LLM-Driven Intent-Based Privacy-Aware Orchestration Across the Cloud-Edge Continuum
par: Su, Zijie, et autres
Publié: (2026)

SLO-Aware Task Offloading within Collaborative Vehicle Platoons
par: Sedlak, Boris, et autres
Publié: (2024)

Quantum Computing: Vision and Challenges
par: Gill, Sukhpal Singh, et autres
Publié: (2024)

Quantum Cloud Computing: Trends and Challenges
par: Golec, Muhammed, et autres
Publié: (2024)

Follow-Me AI: Energy-Efficient User Interaction with Smart Environments
par: Saleh, Alaa, et autres
Publié: (2024)

Smart Space Environments: Key Challenges and Innovative Solutions
par: Kumar, Ramakant
Publié: (2024)

Modern Computing: Vision and Challenges
par: Gill, Sukhpal Singh, et autres
Publié: (2024)

A Multidimensional Elasticity Framework for Adaptive Data Analytics Management in the Computing Continuum
par: Laso, Sergio, et autres
Publié: (2025)

QoS-Aware Load Balancing in the Computing Continuum via Multi-Player Bandits
par: Čilić, Ivan, et autres
Publié: (2025)

ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
par: Farahani, Reza, et autres
Publié: (2026)

Inference Load-Aware Orchestration for Hierarchical Federated Learning
par: Lackinger, Anna, et autres
Publié: (2024)

REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
par: Bai, Xu, et autres
Publié: (2025)

Stencil Computations on Tenstorrent Wormhole
par: Piarulli, Lorenzo, et autres
Publié: (2026)

Validation of GPU Computation in Decentralized, Trustless Networks
par: Boniardi, Eric, et autres
Publié: (2025)

Raft Distributed System for Multi-access Edge Computing Sharing Resources
par: Khaliq, Zain, et autres
Publié: (2024)

Quantum Cloud Computing: A Review, Open Problems, and Future Directions
par: Nguyen, Hoa T., et autres
Publié: (2024)

Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing
par: Liwang, Minghui, et autres
Publié: (2022)

Efficient Routing of Inference Requests across LLM Instances in Cloud-Edge Computing
par: Yu, Shibo, et autres
Publié: (2025)

DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing
par: Nguyen, Hoa T., et autres
Publié: (2024)

GrapheonRL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems
par: Sharma, Aasish Kumar, et autres
Publié: (2025)