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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Max Cappellari & John Belstner & Bryan Rodriguez & Jeff Sedayao, 2021. "A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges," Future Internet, MDPI, vol. 13(3), pages 1-13, February.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:3:p:61-:d:507115
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