Building a user-oriented notification system at CERN

Author:

Antunes Carina,Semedo Jose,Wagner Andreas,Ormancey Emmanuel,Carpente Caetan,Jakovljevic Igor

Abstract

CERN, as many large organizations, heavily relies on a variety of communication means for different use-cases and teams. The large amount of notifications received every day leads to adverse consequences. For the users receiving them, it is challenging to control and keep track of where, how and when some information was received. At the same time for those sending and maintaining the tools that deliver notifications, it is difficult to choose which targets to adopt (email, messaging system and platforms, electronic devices, etc.). The CERN Notifications system aims at consolidating communication by providing a central place where notifications are created, maintained and distributed. CERN Notifications allows not only optimising the flow for the multiple people and teams which are responsible for sending, but also empowers the target users by respecting their preferences: how, where and when they receive their notifications. This paper describes the design and architecture of the CERN Notifications system and its components, how it was designed with a flexible and highly modular architecture which allows adding further device targets with little effort. Furthermore, it presents implementation details and the decisions behind those. And last but not least it describes the features that empower users to choose how to consume information sent to them.

Publisher

EDP Sciences

Reference13 articles.

1. The Radicati Group, Inc. Email Statistics Report 2023-2027. 2023. url: https://www. radicati.com/wp/wp-content/uploads/2023/04/Email-Statistics-Report-2023-2027-Executive-Summary.pdf.

2. Estévez-Mujica Claudia P. and Quintane Eric. “E-mail communication patterns and job burnout”. In: (2018). doi: https://journals.plos.org/plosone/article?id=10.1371/ journal.pone.0193966.

3. Email Filtering. 2023. url: https://en.wikipedia.org/wiki/Email_filtering.

4. Ahmad A. et al. “The new (and improved!) cern single-sign-on”. In: (2021). doi: https://doi.org/10.1051/epjconf/202125102015.

5. How to create a CI/CD pipeline with Auto Deploy to Kubernetes using GitLab and Helm. 2023. url: https://about.gitlab.com/blog/2017/09/21/how-to-create-a-ci-cd-pipeline-with-auto-deploy-to-kubernetes-using-gitlab.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3