SWIRRL.Managing Provenance-aware and Reproducible Workspaces  

作　　者：Alessandro Spinuso Mats Veldhuizen Daniele Bailo Valerio Vinciarelli Tor Langeland 

机构地区：[1]Koninkljk Nederlands Meteorologisch Instituut,De Bilt,Utrecht 3731GA,The Netherlands [2]Istituto Nazionale Geofisica e Vulcanologia,Rome,Lazio 00143,Italy [3]NORCE Norwegian Research Centre AS,Bergen,Hordaland NO-5838,Norway

出　　处：《Data Intelligence》2022年第2期243-258,共16页数据智能（英文）

基　　金：supported by the EU H2020 project ENVRIFair(No.824068);ISENES3(No.824084).

摘　　要：Modern interactive tools for data analysis and visualisation are designed to expose their functionalities as a service through the Web.We present in this paper a Web API(SWIRRL)that allows Virtual Research Environments(VREs)to easily integrate such tools in their websites and re-purpose them to their users.The APl deals,on behalf of the clients,with the underlying complexity of allocating and managing resources within a target cloud platform.By combining storage and containerised services,offering analysis notebooks and other visualisation software,the APl creates dedicated working sessions on-demand,which can be accessed collaboratively.Thanks to the API's support for workflow execution,SWIRRL workspaces can be automatically populated with data of interest collected from external data providers.The system keeps track of updates and changes affecting the data and the tools by adopting versioning and standard provenance technologies.Users are provided with interactive controls enabling traceabilityand recovery actions,including the possibility of creating executable snapshots of their environments.SWIRRL is built in cooperation with two research infrastructures in the field of solid earth science and climate data modeling.We report on the particularadoptions and use cases.

关 键 词：PRODUCTIVITY Data-analysis REPRODUCIBILITY PROVENANCE Cloud-computing 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]