Abstract:

[Objective] The CASEarth Big Earth Data system provides support of computing resources and data resources for the study of sustainable development goals. The occupation of resources by researchers in various disciplines is uneven, and the utilization of resources is not high. The purpose of this paper is to solve the problem of resource usage in the current system and to better serve the researchers. [Methods] This paper has designed and constructed a one-stop scientific research environment for SDGs research based on cloud-native technology. Researchers can obtain and process data online, train and use models, and build and deploy applications online. [Results] The workbench can reduce the workload of researchers in building scientific research software stacks, and improve the utilization of occupied resources. At the same time, relying on the automatic scaling capabilities of cloud-native, the workbench can balance the use of resources. [Conclusions] The SDGs workbench can form an application ecology of cloud services for R&D, testing, deployment, and version updating, which enables a new data-driven SDG scientific research paradigm.

Key words: Sustainable Development Goals, cloud-native, one-stop scientific research environment, Kubernetes, CASEarth big earth data