Objective
"The current increase in popularity of smartphones, Internet of Things devices, as well as wearable devices, has brought with it an
increasing interest in ubiquitous services based on cloud computing. These devices connect to the Internet to reach the cloud data
centres, which host services that these devices could not execute by themselves. Furthermore, research is currently focused on
complimenting cloud computing with the ""Computing Continuum"" paradigm, where computations are distributed, not only through
cloud data centres, but also through other devices increasingly closer to users. The Computing Continuum offers promising
improvements in terms of performance compared to traditional cloud computing, enabling new paradigms such as Industry 4.0 or
eHealth. However, traditional cloud data centres, as well as the ubiquitous access to them through the Internet, consume up to 460
TWh of energy per year, and are responsible for 0.9% of the total energy-related greenhouse gas emissions. Hence, an approach to
the Computing Continuum based on simply placing more servers closer to users, continuously powered on, can further increase the
already large carbon footprint of the cloud paradigm. Therefore, to enable for a sustainable and performant future for computing, the
management of the Computing Continuum is key. To provide a key enabler for this situation, we propose Renos, a system able to
continuously adapt, optimize and orchestrate both the Computing Continuum's devices and the applications that run on them,
aimed at achieving more sustainable and performant computing services and infrastructures. Renos is envisioned as an artificial
intelligence-based system to be used by Computing Continuum providers, and integrated into industry-ready orchestrators. The
Renos project is not only an innovative and ambitious project that can make the European Computing Continuum more competitive,
it is also in line with the MSCA Green Charter, the European Green Deal, and the EU SDGs."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health scienceshealth scienceshealth care serviceseHealth
- natural sciencescomputer and information sciencesinternet
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
1040 Wien
Austria