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| Funder | European Commission |
|---|---|
| Recipient Organization | Universitat Rovira I Virgili |
| Country | Spain |
| Start Date | Jan 01, 2023 |
| End Date | Dec 31, 2026 |
| Duration | 1,460 days |
| Number of Grantees | 20 |
| Roles | Coordinator; Participant; Associated Partner |
| Data Source | European Commission |
| Grant ID | 101086248 |
CloudStars is an Open Source Research Mobility network in the field of Cloud Computing technology.
The proposal combines eleven academic institutions in nine European countries (Spain, Portugal, UK, Germany, Netherlands, Italy, Austria, Poland, Switzerland), two companies in Europe (SAP in Germany, NearBy Computing in Spain), and three industrial laboratories from IBM (USA, Switzerland, and Israel).
The major flow of secondments is scheduled between the academic institutions and IBM industrial labs, but also including a significant number of secondments to SAP and NearBy Computing.CloudStars will create a global reference community in open source Cloud Computing.
The participants will combine theoretical skills andexperience in distributed systems research with industrial open source technologies and cutting-edge Cloud and Edge infrastructures.
This will increase the overall global impact of research contributions, helping to arrive to millions of interested third parties through open source communities.The general goals of the project are:1.
Increase the impact of European researchers with contributions to key open source projects and the involvement in open source communities.2.
Rise the careers of European researchers through well-established networks both across EU and with global open source players.3.
Increase the reproducibility of results in Science and Data Analytics through standard Cloud container technologies.Technical goals are:1.
Development and benchmarking of next generation container technologies leveraging open source Cloud Native Computing Foundation (CNCF) projects and GAIAX protocols.2.
Design novel cloud serverless middleware over container technologies including Function as a Service, serverless containers, and event-based orchestration.3.
Apply novel machine learning techniques for managing containerized Cloud and Edge systems, involving the infrastructure and configuration of executions and services.
Universitat Rovira I Virgili; Technische Universitaet Wien; Akademia Gorniczo-Hutnicza Im. Stanislawa Staszica W Krakowie; Stichting Vu; Imperial College of Science Technology and Medicine; Technische Universitaet Muenchen; Ibm Research Gmbh; Ibm Ireland Limited; Nearby Computing Sl; Universidad de Murcia; Ibm Thomas J. Watson Research Center; Universita Della Svizzera Italiana; International Business Machines Corporation; Universita Degli Studi Di Trento; Universitat Bayreuth; Inesc Id - Instituto de Engenhariade Sistemas E Computadores, Investigacao E Desenvolvimento Em Lisboa; Zurcher Hochschule Fur Angewandte Wissenschaften; Ibm Israel - Science and Technology Ltd; Julius-Maximilians-Universitat Wurzburg; Barcelona Supercomputing Center Centro Nacional de Supercomputacion
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