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A Scalable Cloud Native Platform For Interactive Museum Exhibits

10 pagesPublished: March 9, 2020

Abstract

Science museums with hands-on and interactive exhibits are on the rise. As museums grow, the need arises to have an online platform to allow visitors to continue their ex- perience beyond a day visit. In this paper, we first provide a brief survey of techniques for building scalable cloud native software frameworks. In order to achieve low cost and persist user data, we built a django application using Heroku and postgres. This platform can be scaled horizontally on-demand to handle highly variant user traffic for augmenting the museum experience. With a focus on educational experiences, a participant’s progress on activities at the museum are saved through an API we built and can be viewed on a website. Different activities at the museum generate data for the API which can be viewed anywhere. Simulated data was loaded into our framework to validate the efficacy of our solution. Future testing is outlined in collaboration with the Fleischmann Planetarium through a trial experiment with museum visitors.

Keyphrases: django application, interactive exhibit, scalable cloud native platform

In: Gordon Lee and Ying Jin (editors). Proceedings of 35th International Conference on Computers and Their Applications, vol 69, pages 383-392.

BibTeX entry
@inproceedings{CATA2020:Scalable_Cloud_Native_Platform,
  author    = {Paul Cappaert and Alex Redei},
  title     = {A Scalable Cloud Native Platform For Interactive Museum Exhibits},
  booktitle = {Proceedings of 35th International Conference on Computers and Their Applications},
  editor    = {Gordon Lee and Ying Jin},
  series    = {EPiC Series in Computing},
  volume    = {69},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/cwsh},
  doi       = {10.29007/6b3j},
  pages     = {383-392},
  year      = {2020}}
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