Search Results - "computing continuum"

Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems

Authors: Lapkovskis, Alfreds Sedlak, Boris Magnússon, Sindri et al.

Source: 2025 IEEE International Conference on Edge Computing and Communications (EDGE). :93-102

Subject Terms: Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, reinforcement learning, Performance, quality of experience, distributed computing continuum systems, Machine Learning (cs.LG), Machine Learning, Performance (cs.PF), Artificial Intelligence (cs.AI), active inference, Artificial Intelligence, Networking and Internet Architecture, quality of service, Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), service level objectives

Access URL: http://arxiv.org/abs/2503.03274

Multi-Partner Project: Key Enabling Technologies for Cognitive Computing Continuum - MYRTUS Project Perspective

Authors: Palumbo, Francesca Ratto, Francesco Rubattu, Claudio et al.

Source: 2025 Design, Automation & Test in Europe Conference (DATE)

Subject Terms: Computer hardware and architecture, Design environment, dynamic orchestration, Computing continuum, Interoperability, AI

A self-managing IoT-Edge-Cloud architecture for improved robustness in environmental monitoring

Authors: Bombarda, Andrea Ruscica, Giuseppe Scandurra, Patrizia

Source: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. :1738-1745

Subject Terms: IoT-based Environmental Monitoring, Software architecture for IoT-Edge–Cloud computing continuum, self-adaptive IoT

File Description: application/pdf

Access URL: https://hdl.handle.net/10446/301965
https://doi.org/10.1145/3672608.3707801

A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries

Authors: Bertozzi, Nicolò Geraci, Anna Bergamasco, Letizia et al.

Source: Proceedings of the 10th International Conference on Internet of Things, Big Data and Security. :337-344

Subject Terms: Distributed Microservices Architecture, Digital Twin, Event-Based Orchestration, Interoperability, Energy Optimization, Industry, Computing Continuum

Access URL: https://hdl.handle.net/11583/2999249
https://doi.org/10.5220/0013364400003944

On the Way to Distribute Compute Continuum Urban Applications by Deploying Clusters of Drones

Authors: Tricomi, Giuseppe D'Agati, Luca Arena, Michele et al.

Source: 2024 34th International Telecommunication Networks and Applications Conference (ITNAC). :1-5

Subject Terms: Compute Continuum , Computing Continuum , Smart City , UAV , S4T , I/Ocloud, Compute Continuum, Computing Continuum, I/Ocloud, S4T, Smart City, UAV

File Description: application/pdf

Access URL: https://hdl.handle.net/11570/3336965
https://doi.org/10.1109/itnac62915.2024.10815156

LQ-GNN: a Graph Neural Network Model for Response Time Prediction of Microservice-based Applications in the Computing Continuum

Authors: Matías Richart Juan-Luis Gorricho Javier Baliosian et al.

Contributors: Matías Richart Juan-Luis Gorricho Javier Baliosian et al.

Source: COLIBRI
Universidad de la República
instacron:Universidad de la República

Subject Terms: Machine Learning, Graph Neural Networks, Computing Continuum, Elasticity, Microservicebased applications

File Description: application/pdf

Access URL: https://hdl.handle.net/20.500.12008/50571

Follow-Me AI: Energy-Efficient User Interaction With Smart Environments

Authors: Alaa Saleh Praveen Kumar Donta Roberto Morabito et al.

Contributors: Alaa Saleh Praveen Kumar Donta Roberto Morabito et al.

Source: IEEE Pervasive Computing. 24:32-42

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Smart Environments, Internet of Things, Computer Science - Emerging Technologies, Computing Continuum, Machine Learning (cs.LG), Cloud computing, Pervasive computing, Computer architecture, Follow-Me AI, Real-time systems, Computer and information sciences, User experience, Resource management, Semantics, Artificial Intelligence (cs.AI), Emerging Technologies (cs.ET), Computer Science - Distributed, Parallel, and Cluster Computing, Follow-Me Cloud, Generative AI, Performance evaluation, Distributed, Parallel, and Cluster Computing (cs.DC), Smart Applications

File Description: application/pdf

Access URL: http://arxiv.org/abs/2404.12486
http://hdl.handle.net/10138/596097

Enabling federated learning across the computing continuum: Systems, challenges and future directions

Authors: Prigent, Cédric Costan, Alexandru Antoniu, Gabriel et al.

Contributors: Prigent, Cédric Costan, Alexandru Antoniu, Gabriel et al.

Source: Future Generation Computer Systems. 160:767-783

Subject Terms: Computing Continuum Federated, Personalization, 4. Education, Framewoks, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Edge Computing, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Federated Learning, 7. Clean energy, Computing Continuum, Privacy and Security

File Description: application/pdf

The computing continuum: From IoT to the cloud

Authors: Al-Dulaimy, Auday Jansen, M. Johansson, Bjarne et al.

Source: Internet of Things. 27

Subject Terms: Cloud computing, Computing continuum, Edge computing, Fog computing, IoT, Mobile cloud computing, Multi-access edge computing, NFV, Reference architecture, SDN, Use case

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-68124
https://doi.org/10.1016/j.iot.2024.101272

Evaluation of Storage Placement in Computing Continuum for a Robotic Application: A Simulation-Based Performance Analysis

Authors: Bakhshi Valojerdi, Zeinab Rodriguez-Navas, Guillermo Hansson, Hans et al.

Source: Journal of Grid Computing. 22(2)

Subject Terms: Cloud, Computing continuum, Edge, Fault-tolerance, Fog, Persistent storage, Containers, Digital storage, Centralised, Industrial control applications, Paper analysis, Performances analysis, Robotics applications, Timing constraints, Timing performance, Fault tolerance

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-67704
https://doi.org/10.1007/s10723-024-09758-2

Computing Continuum in Heterogeneous Multi-clusters with Resource-Constrained Devices

Authors: Patiño Martínez, Marta Azqueta Alzúaz, Ainhoa

Source: Mid4CC '24: proceedings of the 2nd International Workshop on Middleware for the Computing Continuum | 2nd International Workshop on Middleware for the Computing Continuum (Mid4CC '24) | 02-06 Dic 2024 | Hong Kong, China
Archivo Digital UPM
instname

Subject Terms: Informática, Infrastructure, Databases, Edge, Performance of applications, Computing Continuum, Resource-constrained devices

File Description: application/pdf

Access URL: https://oa.upm.es/87672/

Special Session: Security and RAS in the Computing Continuum

Authors: Alonso, Martí Andreu, David Canal, Ramon et al.

Source: 2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT). :1-6

Subject Terms: RISC-V, Security, Malware, Hardware Attack, Computing Continuum, Simulation

File Description: application/pdf

Building the Cloud Continuum with REAR

Authors: Stefano Galantino Elisa Albanese Nasir Asadov et al.

Source: 2024 IEEE 10th International Conference on Network Softwarization (NetSoft)

Subject Terms: Computing Continuum, Resource Management, Computing continuum

File Description: application/pdf

Access URL: https://ieeexplore.ieee.org/abstract/document/10588885
https://hdl.handle.net/11583/2989397
https://doi.org/10.1109/NetSoft60951.2024.10588885
https://ieeexplore.ieee.org/document/10588885
https://hdl.handle.net/11572/446370
https://doi.org/10.1109/NetSoft60951.2024.10588885

Analyzing Per-Application Energy Consumption in a Multi-Application Computing Continuum

Authors: Baneshi, S. Pathania, A. Akesson, B. et al.

Contributors: Baneshi, S. Pathania, A. Akesson, B. et al.

Source: 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC). :30-37

Subject Terms: Edge Computing, Application Mapping, Computing Continuum, Scenario analysis, Simulation, Application Energy Consumption

Access URL: https://dare.uva.nl/personal/pure/en/publications/analyzing-perapplication-energy-consumption-in-a-multiapplication-computing-continuum(3240c23e-4dd5-4ca2-bec3-35f1d1df6c94).html
https://doi.org/10.1109/FMEC62297.2024.10710253
https://hdl.handle.net/11245.1/3240c23e-4dd5-4ca2-bec3-35f1d1df6c94
https://publications.tno.nl/publication/34641950/rD67ft/baneshi-2023-estimating.pdf
https://resolver.tno.nl/uuid:e37c7a38-6783-4678-b0f6-c8c3a541d43e

Equilibrium in the Computing Continuum through Active Inference

Authors: Sedlak, Boris Casamayor Pujol, Víctor Donta, Praveen Kumar et al.

Source: Future Generation Computer Systems. 160:92-108

Subject Terms: FOS: Computer and information sciences, Equilibrium, Performance, Scalability, 02 engineering and technology, Systems and Control (eess.SY), Transfer Learning, 01 natural sciences, Computing Continuum, Edge Intelligence, Machine Learning (cs.LG), Machine Learning, Performance (cs.PF), Artificial Intelligence (cs.AI), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Active Inference, Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), 0101 mathematics, Systems and Control

Access URL: http://arxiv.org/abs/2311.16769

Open innovation in industrial demand response: A computing continuum approach to overcoming technological barriers

Authors: Atit Bashyal Pakin Veerachanchi Tina Boroukhian et al.

Source: Journal of Open Innovation: Technology, Market and Complexity, Vol 11, Iss 4, Pp 100678- (2025)

Subject Terms: Demand response, Industrial demand response, Computing continuum, Industrial Internet of Things, Smart grid, Distributed computing, Management. Industrial management, HD28-70, Business, HF5001-6182

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2199853125002136; https://doaj.org/toc/2199-8531

Access URL: https://doaj.org/article/282659d677414e5eae8319a7560182d1

Towards Efficient Learning on the Computing Continuum: Advancing Dynamic Adaptation of Federated Learning

Authors: Valli, Mathis Costan, Alexandru Tedeschi, Cédric et al.

Contributors: Valli, Mathis Costan, Alexandru Tedeschi, Cédric et al.

Source: Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. :42-49

Subject Terms: data privacy, machine learning, federated learning, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], computing continuum, robust federated learning, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], dynamic adaptation

File Description: application/pdf

Access URL: https://hal.science/hal-04698619v2
https://hal.science/hal-04698619v2/document
https://doi.org/10.1145/3659995.3660042

MYRTUS: Multi-layer 360° dYnamic orchestration and interopeRable design environmenT for compute-continUum Systems

Authors: Francesca Palumbo Maria Katiuscia Zedda Tiziana Fanni et al.

Contributors: Francesca Palumbo Maria Katiuscia Zedda Tiziana Fanni et al.

Source: Proceedings of the 21st ACM International Conference on Computing Frontiers Workshops and Special Sessions (CF ’24 Companion)

Subject Terms: Platform leveraging, Swarm intelligence, Computer hardware, Dynamic orchestration, Cognitive engines, Edge computing, Multi-layers, Interoperability, Cloud computing platforms, AI, Computer hardware and architecture, Computing continuum, Design environment, Decentralised, Continuum systems

Access URL: https://hdl.handle.net/11245.1/39ea3cf1-bfbc-41b3-b3b5-fee0e6224cec
https://doi.org/10.1145/3637543.3654618
https://dare.uva.nl/personal/pure/en/publications/myrtus-multilayer-360-dynamic-orchestration-and-interoperable-design-environment-for-computecontinuum-systems(39ea3cf1-bfbc-41b3-b3b5-fee0e6224cec).html
https://resolver.tno.nl/uuid:0169f14e-af8d-48d2-a46b-5c89a8b307f5

Collaborative services for Crowd Safety systems across the Edge-Cloud Computing Continuum

Authors: Balouek, Daniel Pettré, Julien

Contributors: Balouek, Daniel Pettré, Julien

Source: 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW). :92-97

Subject Terms: [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Crowd Safety, Edge Computing, Urgent Computing, Cyberinfrastructures, Computing Continuum

File Description: application/pdf

Access URL: https://hal.science/hal-04775145v1
https://doi.org/10.1109/ccgridw63211.2024.00017
https://hal.science/hal-04775145v1/document

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum

Authors: Federica Filippini Riccardo Cavadini Danilo Ardagna et al.

Source: Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing. :1-8

Subject Terms: Reinforcement Learning, Computing Continuum, Artificial Intelligence, Reinforcement Learning, Computing Continuum, Artificial Intelligence

File Description: application/pdf

Access URL: https://hdl.handle.net/11380/1354406
https://doi.org/10.1145/3603166.3632565
https://hdl.handle.net/11311/1254605