HEОбмен на изследователи2023–2026

CLOUDSTARS · Cloud Open Source Research Mobility Network

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2023-01-01 → 2026-12-31
Финансиране от ЕС
1 301 800 €
Участници
20
Схема
HORIZON-TMA-MSCA-SE

Линиите свързват координатора с партньорите.

Накратко на български

Облачните инфраструктури и изкуственият интелект се развиват, за да оптимизират обработката на данни между централните сървъри и крайните устройства. Това помага за създаването на по-бързи системи за сложни изчисления и по-ефективно разпределение на ресурсите.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Cloud Open Source Research Mobility Network

CLOUDSTARS presents a joint research programme in the fields of Cloud computing and AI technologies. On one hand, CLOUDSTARS pursues innovation in the Cloud infrastructures to support the next generation of low-latency, high-performance complex workloads which are now being developed. On the other hand, the research programme pursues high innovationin the Cloud, making the best application of artificial intelligence techniques and AI models with automatic adaptation to the computing resources both in the Cloud and the Edge to optimize where data are being processed. The participants in CLOUDSTARS exchange skills and knowledge to allow them to progress towards key advances in cloud computing, data analytics and AI technologies, while strengthening collaborative research between different countries and sectors. In particular, the staff members who participate in the project develop new skills (open-source contributions, access to cutting-edge Cloud/Edge technologies), be exposed to new research environments. To facilitate the exploitation of results, CLOUDSTARS will favor industrial open-source technologies whenever possible. This will increase the overall global impact of research contributions, helping to arrive to millions of interested third parties through open-source communities. In this sense, the companies involved in the project will transfer knowledge and open-source projects to their commercial products and cloud offerings, providing a great economic and social impact.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз