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Time critical requirements and technical considerations for advanced support environments for data-intensive research

Zhao, Zhiming, Martin, Paul, de Laat, Cees, Jones, Andrew, Taylor, Ian, Hardisty, Alex, Atkinson, Malcolm, Jeffery, Keith, Zuiderwijk-van Eijk, Anneke, Yin, Yi and Chen, Yin 2016. Time critical requirements and technical considerations for advanced support environments for data-intensive research. Presented at: 2nd International Workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 16), IEEE Real-Time Systems Symposium (RTSS) 2016, Porto, Portugal, 29th November - 2nd December 2016. Proceedings of 2nd International Workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 16) in the context of IEEE Real-time System Symposium (RTSS). Zenodo, pp. 1-10. 10.5281/zenodo.204756

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Abstract

Data-centric approaches play an increasing role in many scientific domains, but in turn rely increasingly heavily on advanced research support environments for coordinating research activities, providing access to research data, and choreographing complex experiments. Critical time constraints can be seen in several application scenarios e.g., event detection for disaster early warning, runtime execution steering, and failure recovery. Providing support for executing such time critical research applications is still a challenging issue in many current research support environments however. In this paper, we analyse time critical requirements in three key kinds of research support environment—Virtual Research Environments, Research Infrastructures, and e-Infrastructures—and review the current state of the art. An approach for dynamic infrastructure planning is discussed that may help to address some of these requirements. The work is based on requirements collection recently performed in three EU H2020 projects: SWITCH, ENVRIPLUS and VRE4EIC.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: virtual research environment, research infrastructure, e-Infrastructure, real time system
Publisher: Zenodo
Funders: EC Horizon 2020 Grant agreement numbers 654182, 643963, 676247
Date of First Compliant Deposit: 10 August 2017
Last Modified: 30 Nov 2017 22:34
URI: http://orca.cf.ac.uk/id/eprint/103467

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