DECICE is a Horizon Europe project that is developing an AI-enabled open and portable management framework for automatic and adaptive optimization and deployment of applications in computing continuum encompassing from IoT sensors on the Edge to large-scale Cloud / HPC computing infrastructures. In this paper, we describe the DECICE framework and architecture. Furthermore, we highlight use-cases for framework evaluation: intelligent traffic intersection, magnetic resonance imaging, and emergency response.

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Dizdarević JMichalke MJukan AMasip-Bruin XD’Andria F(2024)Benchmarking Performance of Various MQTT Broker Implementations in a Compute Continuum2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)10.1109/CCGrid59990.2024.00048(357-366)Online publication date: 6-May-2024
https://doi.org/10.1109/CCGrid59990.2024.00048
Sofia RSalomon JFerlin-Reiter SGarcés-Erice LUrbanetz PMueller HTouma REspinosa AContreras LTheodorou VPsaromanolakis NMamatas LTsaoussidis VFu XYuan Tdel Rio AJiménez DStam AParaskevoulakou EKaramolegkos PVieira VMartrat JPrusiel IMatzakou DSoldatos JRemon DJahn M(2024)A Framework for Cognitive, Decentralized Container OrchestrationIEEE Access10.1109/ACCESS.2024.340686112(79978-80008)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3406861
Lampe BReiher LZanger LWoopen Tvan Kempen REckstein L(2023)RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC57777.2023.10422370(2719-2725)Online publication date: 24-Sep-2023
https://doi.org/10.1109/ITSC57777.2023.10422370

Index Terms

DECICE: Device-Edge-Cloud Intelligent Collaboration Framework
1. Computing methodologies
  1. Parallel computing methodologies

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CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers

May 2023

419 pages

ISBN:9798400701405

DOI:10.1145/3587135

General Chairs:
Andrea Bartolini
Università di Bologna, IT
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Kristian Rietveld
Leiden University, NL
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Catherine Schuman
University of Tennessee, US
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Jose Moreira
IBM, US

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Dizdarević JMichalke MJukan AMasip-Bruin XD’Andria F(2024)Benchmarking Performance of Various MQTT Broker Implementations in a Compute Continuum2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)10.1109/CCGrid59990.2024.00048(357-366)Online publication date: 6-May-2024
https://doi.org/10.1109/CCGrid59990.2024.00048
Sofia RSalomon JFerlin-Reiter SGarcés-Erice LUrbanetz PMueller HTouma REspinosa AContreras LTheodorou VPsaromanolakis NMamatas LTsaoussidis VFu XYuan Tdel Rio AJiménez DStam AParaskevoulakou EKaramolegkos PVieira VMartrat JPrusiel IMatzakou DSoldatos JRemon DJahn M(2024)A Framework for Cognitive, Decentralized Container OrchestrationIEEE Access10.1109/ACCESS.2024.340686112(79978-80008)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3406861
Lampe BReiher LZanger LWoopen Tvan Kempen REckstein L(2023)RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC57777.2023.10422370(2719-2725)Online publication date: 24-Sep-2023
https://doi.org/10.1109/ITSC57777.2023.10422370

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A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control

Task offloading in cloud-edge collaboration-based cyber physical machine tool

Elastic Federated Learning with Kubernetes Vertical Pod Autoscaler for edge computing

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