ICOS: An Intelligent MetaOS for the Continuum

2nd International Workshop on MetaOS for the Cloud-Edge-IoT Continuum (MECC 2025), Rotterdam, The Netherlands

Placing Computational Tasks within Edge-Cloud Continuum: a DRL Delay Minimization Scheme.

Euro-Par 2024 Conference
In the rapidly evolving landscape of IoT-Edge-Cloud continuum (IECC), effective management of computational tasks offloaded from mobile devices to edge nodes is crucial.

Navigating the Dynamic Heterogeneous Computing Sphere: The Role of EdgeHarbor as a Multi-Edge Orchestrator

Euro-Par 2024 Conference
The term ‘Dynamic Heterogeneous Computing Sphere’ is used to describe a computing paradigm that is heterogeneous, volatile and highly dynamic.

Engineering Resource-Efficient Data Management for Smart Cities with Apache Kafka

Future Internet
In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation.

3D human big data exchange between the health and garment sectors. Lessons learned in the BodyPass project

BodyPass
3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

MDPI Sensors
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.

ARI's vision of the future of European media and creative industries sectors

The report “NEM Vision 2030 Towards a future media ecosystem” describes the NEM approach about the European media and creative industries sectors for the next decade.

PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management

SPRINGER - IFIP International Conference on Artificial Intelligence Applications and Innovations
While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models.

Parallelization and Deployment of Big Data Algorithms: The TOREADOR Approach

32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). DOI: 10.1109/WAINA.2018.00120

Building the DataBench Workflow and Architecture

International Symposium on Benchmarking, Measuring and Optimization
In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.