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.
Highlights
The XPRIZE Foundation [1,2,3] designs and operates multi-million-dollar, global competitions to incentivize the development of technological breakthroughs that accelerate humanity toward a better future
We present the design and implementation of the XPRIZE Data Collaborative as a descriptive case study [13,14] of a Cloud Native Application (CNA) [15,16,17,18], from requirements, design, and implementation to operating experiences
We mentioned in the Introduction that many case studies of Cloud implementations focus on specific technologies such as containers or serverless computing
Summary
The XPRIZE Foundation [1,2,3] designs and operates multi-million-dollar, global competitions to incentivize the development of technological breakthroughs that accelerate humanity toward a better future. As part of that philosophy, XPRIZE looked to develop a Data Collaborative that will support the resolution of complex, global problems. We present the design and implementation of the XPRIZE Data Collaborative as a descriptive case study [13,14] of a Cloud Native Application (CNA) [15,16,17,18], from requirements, design, and implementation to operating experiences. Our case study looks at whether the COVID-19 pandemic affected the Data Collaborative’s design, development, and implementation. In this introduction, we have described critical background information such as the XPRIZE Foundation’s mission and goals for the Data Collaborative.
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