In response to the European Commission DG CONNECT’s unit “Cloud and Software” consultation on Cloud Computing aimed at all interested stakeholders on the future research and innovation challenges in the area of Cloud Computing to be addressed in the forthcoming H2020 LEIT (Leadership in Enabling and Industrial Technologies) ICT Work Programme 2018-2020, Trust-IT Services, that has been working on cloud computing innovations in recent years, identified a number of areas for discussion.
Among the top priority topics that could potentially be pursued amongst major stakeholders from research, industry & academic circles to develop evolved research solutions & innovation for the future, we included:
- Regulatory-compliance cloud services: With the enforcement of the GDPR in 2018, it is fundamental to ensure a privacy-by-design and regulatory- compliant approach to develop cloud services to reduce their time to market.
- Strengthened Standardisation & international cooperation: International cooperation with the US for a unique approach to leverage standardisation effort is key for a cloud computing (Federations of Clouds – IEEE – and SLAs – ISO/IEC standards) ensuring harmonisation for a truly global market. Cloud service metrics, plug & play in SLAs, benchmarking and cloud test beds will make it easier to compare solutions globally.
- Data management in the cloud: New models for Data Management are needed to address fragmentation across formats, technologies, domains and disciplines to facilitate data preservation and reuse.
- Cloud procurement: Evolved procurement models for cloud computing are required to speed up cloud uptake and to understand how public and commercial cloud service providers can play a role in a federated cloud ecosystem.
- Cloud security access broker (CASBs): New trust models and authorisation mechanisms should be defined to facilitate the emergence of CASBs. The combined use of efficient encryption algorithms is important to guarantee security without impacting performance.
- Open source cloud platform developments and fog computing: New cloud models are needed to support machine-to-machine communication and integrate new systems for better address applications’ requirements. Resiliency and dependability are key features, including new privacy preserving models and security assurance for fog computing.
- Multi-cloud, big data and services for industry 4.0: Cloud computing will be central for the new industrial revolution driving the effort in 5G to process large quantities of data. New data models, including monitoring and data aggregation techniques are needed.
As the Work Programme 2018-2020 Call for Proposals is expected to be published by the end of 2017, new projects are likely to be launched before the end of 2018 with a duration of 2-3 years.