Open Call ICT-06-2016: Cloud Computing

European CommissionRecent trends in cloud computing go towards the development of new paradigms (heterogeneous, federated, distributed clouds) as opposed to the current centralised model, with tight interactions between the computing and networking infrastructures. The challenge is to address, from the research and experimentation perspectives, the necessary evolution in cloud architectures, cloud networking, deployment practices and run-time management as well as the associated security and privacy needs. The ambition is to increase the uptake of cloud technology by providing the robustness, trustworthiness, and performance required for applications currently considered too critical to be deployed on existing clouds. From the innovation side, the challenge is in fostering the provision and adoption of competitive, innovative, secure and reliable cloud computing services by SMEs and public sector organisations across Europe. Mastering these trends in cloud computing will contribute towards a connected Digital Single Market.

a. Research and Innovation Actions
New paradigms: proposals may cover one or more of the themes identified below, but not necessarily all of them.

  • Deployment and management of densely interconnected and decentralised cloud infrastructures, including the extension of the fog computing paradigm to the extreme edge of the network;
  • Cloud networking in the context of software-defined data centres as well as re-allocation of resources and services (independently of their location) across distributed computing and geographically separated data storage infrastructures;
  • Techniques to deal with trust, security and privacy in decentralised cloud infrastructures and across multiple cloud providers, including aspects of data integrity, data localisation and data confidentiality;
  • Evolution of cloud architectures to improve the management of physical resources and the efficiency of cloud systems, including the concomitant evolution of databases and cloud computing architectures, to address new challenges on scale, resilience and security posed by data-intensive applications deployed over highly distributed and federated environments.

The Commission considers that proposals requesting a contribution from the EU of between EUR 3 and 5 million would allow these areas to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

b. Innovation Actions
Proposals should cover one of the themes identified below:

  • Experimentation of cloud-based services and their deployment configurations in large-scale decentralised and federated environments, in particular exploring and contributing towards interoperability and standardisation. Experiments are intended to support the automated deployment of complex applications across multiple clouds and data centres, to investigate the performance of cloud infrastructures and to characterise Quality of Service and Quality of Experience under a wide range of load and fault conditions. The approach should explore aspects of interoperability, scalability, performance, robustness, security and efficiency of the mechanisms, like those put forward by FIRE.
  • Cloud Computing for SMEs and Public Sector Innovation: the focus is on fostering innovation through an increased provision and adoption of cloud computing services by two strategic target communities: SMEs and public sector organisations. The focus is on piloting and demonstration in near-operational settings that could lead to the introduction and uptake of new, flexible and resource-effective cloud solutions for SMEs and/or the public sector. The proposed work is intended to leverage these innovative solutions to overcome current challenges such as data portability and interoperability, data protection and access control, standardisation, etc.

The Commission considers that proposals requesting a contribution from the EU of between EUR 2 and 4 million would allow this area to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Deadline Date: 12 April 2016 17:00:00 (Brussels local time)

Type of action: IA Innovation action , RIA Research and Innovation action.

For topic conditions, documents and submission service, please visit:
http://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/5091-ict-06-2016.html

PS: Find your partners or consortia preparing a project proposal
If you are working on Horizon 2020 research project proposals and you would be interested in a SME partner from Germany, please contact us, we are ready to share our experience, expertise and knowledge. If you need help to identify a potential partner with particular competences, facilities or experience, please explore and join our project, (HEALTH IT) SPACE, at www.healthitspace.eu.

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...