A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges

Max Cappellari, John Belstner, Bryan Rodriguez and Jeff Sedayao
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Max Cappellari: XPRIZE Foundation, Culver City, CA 90230, USA
John Belstner: Intel Corporation, Santa Clara, CA 95054-1549, USA
Bryan Rodriguez: Intel Corporation, Santa Clara, CA 95054-1549, USA
Jeff Sedayao: Intel Corporation, Santa Clara, CA 95054-1549, USA

Future Internet, 2021, vol. 13, issue 3, 1-13

Abstract: The XPRIZE Foundation designs and operates multi-million-dollar, global competitions to incentivize the development of technological breakthroughs that accelerate humanity toward a better future. To combat the COVID-19 pandemic, the foundation coordinated with several organizations to make datasets about different facets of the disease available and to provide the computational resources needed to analyze those datasets. This paper is a case study of the requirements, design, and implementation of the XPRIZE Data Collaborative, which is a Cloud-based infrastructure that enables the XPRIZE to meet its COVID-19 mission and host future data-centric competitions. We examine how a Cloud Native Application can use an unexpected variety of Cloud technologies, ranging from containers, serverless computing, to even older ones such as Virtual Machines. We also search and document the effects that the pandemic had on application development in the Cloud. We include our experiences of having users successfully exercise the Data Collaborative, detailing the challenges encountered and areas for improvement and future work.

Keywords: containers; virtual machines; cloud; COVID-19; serverless; analytics; software defined infrastructure (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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