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EGI Cloud Compute: success stories from the business pilots

Virtual machines on-demand with complete control over computing resources

EGI Cloud Compute gives researchers to deploy and scale virtual machines on-demand. It offers guaranteed computational resources in a secure and isolated environment with standard API access, without the overhead of managing physical servers. The service is part of the EOSC-hub catalogue and was first launched in 2014 and has since supported high-impact research and business use cases. Here are some recent examples from the EOSC-hub Digital Innovation Hub.


App to monitor athletic performance 

As a EOSC-hub business pilot, Moxoff developed VAMOS – a web-application where authenticated users can analyze and monitor performance of athletic gestures. They deployed two virtual machines using the EGI Cloud Compute service: one for the front-end of VAMOS with 4 CPUs, and another with more resources for the back-end with 12 CPUs and 1 GPU. VAMOS allows coaches and athletes to save time and increase their efficiency as the data is processed by advanced algorithm and methods (such as functional data analysis) automatically, extracting all the KPIs they need into standard reports.


Improved analytics for the furniture industry

AIDIMME designed and deployed DataFurn – a platform to provide intelligence and insight into furniture industry trends. DataFurn was developed as an EOSC-hub pilot and used ten EGI Cloud Compute virtual machines with 80 CPUs to deploy its architecture. In six months of operations, DataFurn consumed the equivalent of 230 compute-months (~170,000 CPU hours). This cloud computing power allowed DataFurn to experiment on different resource-intensive algorithms for analyzing and indexing the related content that has been curated for manufacturing SMEs. 


Data cloud services to manage harmful algae blooms

Harmful Algal Blooms happen when toxic microalgae proliferate beyond control and take over coasts, rivers and lakes with costly impacts, for example red tides. Ecohydros developed CyberHAB: a versatile platform powered by cloud computing able to combine large volumes of data for the management of harmful algal blooms. CyberHAB uses Jupyter Notebooks as an interface and EGI Cloud Compute service for the computing back-end. They also deploy the INDICO-DataCloud IM PaaS Orchestrator.



EGI Cloud Compute is available through the EOSC Marketplace and is provided by the 22 cloud data centres of the EGI Federation.