Global Computing Groups is currently involved in the following projects:
Financed by: Ministry of Science and Innovation
Scalable and Cost Competitive Data Collection and Analysis Techniques for Social Probing
DiStributed COmputation by LEarning from Data and Gathering Edge-Cloud Resources
Novel machine learning techniques to improve the forecasting of stroke post-interventive outcomes
Edge Computing for Intelligent Driving
An infrastructure for highly decentralized hybrid systems
COVID-19 Monitoring via Data-Intensive Analysis
Interpretation of the evolution of network traffic
Developing a Strongly Consistent, Fault-Tolerant, Long-Lived Distributed Storage System with Failure Prediction Mechanism
Automated interpretation of network traffic traces
A Holistic Opto-Acoustic System for Monitoring Marine Biodiversities
Intelligence solution based on customer data analysis
Detection of anomalies in network traffic and identification of possible causes
Distributed storage and computing on the edge (of the network)
Identification of anomalies in network traffic and automatic generation of alarms
Influence of Algorithms in Users' Filter Bubbles
Efficient Cloud and BigData Infrastructure
Network for sOcial compuTing REsearch
From Real-world Identities to Privacy-preserving and Attribute-based CREDentials for Device-centric Access Control
Modeling and Online Performance Optimization of Adaptive Networks
Seeking Efficient Atomic Implementations of Distributed Data Storage
Theory and Technique for Reducing Network Energy Consumption
Energy Efficient Networks
Technological platform for real-time data packet analysis
Development of an Open Source Distributed Platform for the Management and Distribution of Multi-Device Digital Content
Design of New Algorithms for the Creation of a Technology Platform for Financial Intermediation in Mobile Cloud Computing
Cloud Computing for Scalable, Reliable and Ubiquitous Services
Multi-device Open Source Operating System