This is a website for an H2020 project which concluded in 2019 and established the core elements of EOSC. The project's results now live further in www.eosc-portal.eu and www.egi.eu

EOSC-hub DODAS

Cloud Concepts and Open Source Solutions

Wednesday, October 21, 2020 - 09:00 to Thursday, October 22, 2020 - 09:36

Introduce the DODAS EOSC-hub Thematic Service to the Lebanon researchers

Dynamic On-Demand Analysis Service (DODAS)

Thursday, December 12, 2019 - 11:00 to 18:15

First workshop for the coordination of the activities within the Task 5.1: Common Computing and data handling.

Istanziazione e utilizzo di batch system on demand su infrastrutture cloud.

Monday, November 25, 2019 - 14:00 to Thursday, November 28, 2019 - 12:30

Il corso avrà l'obiettivo di fornire dettagli su come istanziare in maniera automatizzata clusters per l'orchestrazione di container che implementano a loro volta un batch system a servizio. Verrà illustrato principalmente il caso di un sistema di batch basato su HTCondor, dando pero' esempi anche di piattaforme Spark per il training di Machine Learning.

Il corso fornirà gli strumenti di alto livello per l'utilizzo di infastrutture cloud finalizzato al processamento di dataset. In tal senso verranno mostrati strumenti per la gestione delle applicazioni (container), per la gestione del software (cvmfs) e dei dati (e.g. xrootd). Sarà inoltre mostrato concretamente l'esempio del workflow di data anlaisi dell’esperimento AMS, come pilota nell'utilizzo dei batch system a servizio.

Il corso si terrà presso la  Sezione INFN di Perugia, con inizio alle ore 14.00 del 25 Novembre e termine alle ore 13.00 circa del 28 Novembre 2019.

SOSC 2018 - Second International PhD School on Open Science Cloud

Monday, September 17, 2018 - 08:00 to Friday, September 21, 2018 - 18:10

The 2018 school is devoted to "Predictive Models" and, as the previous edition, will consist of a serie of lectures, seminars and hands-on sessions on several interconnected topics, as:

  • The world of Big Data 
  • ​Data acquisition, managing and handling 
  • Machine and Deep Learning 
  • Computing models and data analysis 
  • Cloud Infrastructures 
  • ML Research to Business 

More in details, Data Management will be explored in terms of the full potential for Cloud paradigma exploitation especially from the infrastructural point of view, presenting the state of the art, contemporary issues and challenges for future. Few realistic examples will be used to drive the discussion: Big Data and high throughput requests, streaming and security. Machine Learning will be also discussed in terms of Predictive Models, investigating specific data structures for ML technologies. 
The school is organised to serve scientific communities: High Energy Physics, Material Simulation, Meteorological and Environmental studies, etc.