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Article

The VLab Framework: An Orchestrator Component to Support Data to Knowledge Transition

1
Institute of Atmospheric Pollution Research—National Research Council of Italy (CNR-IIA), 50019 Sesto Fiorentino, Italy
2
Joint Research Centre, European Commission, 21027 Ispra, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(11), 1795; https://doi.org/10.3390/rs12111795
Received: 5 May 2020 / Revised: 28 May 2020 / Accepted: 29 May 2020 / Published: 2 June 2020
(This article belongs to the Special Issue Remote Sensing and Digital Twins)
Over the last decades, to better proceed towards global and local policy goals, there was an increasing demand for the scientific community to support decision-makers with the best available knowledge. Scientific modeling is key to enable the transition from data to knowledge, often requiring to process big datasets through complex physical or empirical (learning-based AI) models. Although cloud technologies provide valuable solutions for addressing several of the Big Earth Data challenges, model sharing is still a complex task. The usual approach of sharing models as services requires maintaining a scalable infrastructure which is often a very high barrier for potential model providers. This paper describes the Virtual Earth Laboratory (VLab), a software framework orchestrating data and model access to implement scientific processes for knowledge generation. The VLab lowers the entry barriers for both developers and users. It adopts mature containerization technologies to access models as source code and to rebuild the required software environment to run them on any supported cloud. This makes VLab fitting in the multi-cloud landscape, which is going to characterize the Big Earth Data analytics domain in the next years. The VLab functionalities are accessible through APIs, enabling developers to create new applications tailored to end-users. View Full-Text
Keywords: virtual earth laboratory; orchestration; data to knowledge; environmental modeling; interoperability; geospatial technology virtual earth laboratory; orchestration; data to knowledge; environmental modeling; interoperability; geospatial technology
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MDPI and ACS Style

Santoro, M.; Mazzetti, P.; Nativi, S. The VLab Framework: An Orchestrator Component to Support Data to Knowledge Transition. Remote Sens. 2020, 12, 1795. https://doi.org/10.3390/rs12111795

AMA Style

Santoro M, Mazzetti P, Nativi S. The VLab Framework: An Orchestrator Component to Support Data to Knowledge Transition. Remote Sensing. 2020; 12(11):1795. https://doi.org/10.3390/rs12111795

Chicago/Turabian Style

Santoro, Mattia, Paolo Mazzetti, and Stefano Nativi. 2020. "The VLab Framework: An Orchestrator Component to Support Data to Knowledge Transition" Remote Sensing 12, no. 11: 1795. https://doi.org/10.3390/rs12111795

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