AuthorsC. Midoglu, B. Ragan-Kelley, S. Reinemo, J. Jahren and P. Halvorsen
EditorsA. Elmokashfi, O. Lysne and V. Naumova
TitleSmittestopp Backend
AfilliationMachine Learning
Project(s)Department of Holistic Systems
StatusPublished
Publication TypeBook Chapter
Year of Publication2022
Book Title Smittestopp − A Case Study on Digital Contact Tracing
Volume11
Pagination29 - 62
Date Published06/2022
PublisherSpringer International Publishing
Place PublishedCham
ISBN Number978-3-031-05465-5
ISBN2512-1677
Abstract

An efficient backend solution is of great importance for any large-scale system, and Smittestopp is no exception. The Smittestopp backend comprises various components for user and device registration, mobile app data ingestion, database and cloud operations, and web interface support. This chapter describes our journey from a vague idea to a deployed system. We provide an overview of the system internals and design iterations and discuss the challenges that we faced during the development process, along with the lessons learned. The Smittestopp backend handled around 1.5 million registered devices and provided various insights and analyses before being discontinued a few months after its launch.

URLhttps://link.springer.com/content/pdf/10.1007/978-3-031-05466-2.pdf
DOI10.1007/978-3-031-05466-2_3

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