A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-02-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/13/3/61 |
| _version_ | 1797417457682481152 |
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| author | Max Cappellari John Belstner Bryan Rodriguez Jeff Sedayao |
| author_facet | Max Cappellari John Belstner Bryan Rodriguez Jeff Sedayao |
| author_sort | Max Cappellari |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T06:19:04Z |
| format | Article |
| id | doaj.art-ad7d678704fa4557a86aedb014852246 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-09T06:19:04Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-ad7d678704fa4557a86aedb0148522462023-12-03T11:49:41ZengMDPI AGFuture Internet1999-59032021-02-011336110.3390/fi13030061A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology ChallengesMax Cappellari0John Belstner1Bryan Rodriguez2Jeff Sedayao3XPRIZE Foundation, Culver City, CA 90230, USAIntel Corporation, Santa Clara, CA 95054-1549, USAIntel Corporation, Santa Clara, CA 95054-1549, USAIntel Corporation, Santa Clara, CA 95054-1549, USAThe 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.https://www.mdpi.com/1999-5903/13/3/61containersvirtual machinescloudCOVID-19serverlessanalytics |
| spellingShingle | Max Cappellari John Belstner Bryan Rodriguez Jeff Sedayao A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges Future Internet containers virtual machines cloud COVID-19 serverless analytics |
| title | A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges |
| title_full | A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges |
| title_fullStr | A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges |
| title_full_unstemmed | A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges |
| title_short | A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges |
| title_sort | cloud based data collaborative to combat the covid 19 pandemic and to solve major technology challenges |
| topic | containers virtual machines cloud COVID-19 serverless analytics |
| url | https://www.mdpi.com/1999-5903/13/3/61 |
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