Working Paper Article Version 3 This version is not peer-reviewed

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

Version 1 : Received: 18 December 2020 / Approved: 21 December 2020 / Online: 21 December 2020 (10:13:05 CET)
Version 2 : Received: 12 January 2021 / Approved: 13 January 2021 / Online: 13 January 2021 (07:43:55 CET)
Version 3 : Received: 19 February 2021 / Approved: 19 February 2021 / Online: 19 February 2021 (11:31:42 CET)

How to cite: Cappellari, M.; Belstner, J.; Rodriguez, B.; Sedayao, J. A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges. Preprints 2020, 2020120488 Cappellari, M.; Belstner, J.; Rodriguez, B.; Sedayao, J. A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges. Preprints 2020, 2020120488

Abstract

TThe 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 available data sets about different facets of the disease and to provide the computational resources needed to analyze those data sets. This is paper is a case study of the requirements, design, and implementation of the XPRIZE Data Collaborative, 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 like 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.

Subject Areas

containers; virtual machines; cloud; COVID-19; serverless; analytics; software defined infrastructure

Comments (1)

Comment 1
Received: 19 February 2021
Commenter: Jeffrey Sedayao
Commenter's Conflict of Interests: Author
Comment: This version has substantial edits in response to feedback from reviewers upon resubmission of previous version.  Content has been substantially reorganized and new information added.  It has also been moved to the proper format in a template provided by MDPI editors.
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