Conference paper Open Access
Koulouzis, Spiros;
Martin, Paul;
Carval, Thierry;
Grenier, Baptiste;
Judeau, Glenn;
Heikkinen, Jani;
Wang, Junchao;
Zhou, Huan;
Hu, Yang;
De Laat, Cees;
Zhao, Zhiming
The increasing volumes of data being produced, curated and made
available by research infrastructure (RI) initiatives in the environmental
science domain require services to optimise the delivery
and staging of data on behalf of investigators and other users of
scientific data. Specialised data services for managing data lifecycle,
for creating and delivering data products, and for customised data
processing, play a crucial role in RIs to serve their user communities.
We describe our experiences identifying the time-critical requirements
of environmental scientists making use of ICT research
support infrastructure. We present a microservice based infrastructure
optimisation suite called the Dynamic Real-time Infrastructure
Planner (DRIP). We provide a case study whereby DRIP is used
to optimise runtime service quality for a data subscription service
provided by the Euro-Argo RI using EGI FedCloud and EUDAT’s
B2SAFE service.
Name | Size | |
---|---|---|
DataCloud-drip_SK-ZZ-V6.pdf
md5:51fc5edfc1d7301a068ef40c0f4eded5 |
1.6 MB | Download |
All versions | This version | |
---|---|---|
Views | 45 | 45 |
Downloads | 40 | 40 |
Data volume | 64.4 MB | 64.4 MB |
Unique views | 42 | 42 |
Unique downloads | 40 | 40 |