IDEAS home Printed from https://ideas.repec.org/a/tec/techni/v4y2022i1p76-88.html
   My bibliography  Save this article

A crowdsensing cloud-based microservice for weather forecast

Author

Listed:
  • Dimitris Selis

Abstract

We present a cloud-based microservice enabling individual users to have access to local air pressure measurements and a proof-of-concept web application providing shot-term weather forecasts based only on local crowdsensed data. Our microservice has been developed using state-of-the-art web technologies and cutting-edge technologies related to cloud computing. Apart from its individual interest and potential usefulness, our microservice and proof-of-concept web application show how modern cloud-based technologies and tools can be nicely combined to improve the community daily routine and wellbeing.

Suggested Citation

  • Dimitris Selis, 2022. "A crowdsensing cloud-based microservice for weather forecast," Technium, Technium Science, vol. 4(1), pages 76-88.
  • Handle: RePEc:tec:techni:v:4:y:2022:i:1:p:76-88
    DOI: 10.47577/technium.v4i9.7421
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/technium/article/view/7421/2733
    Download Restriction: no

    File URL: https://techniumscience.com/index.php/technium/article/view/7421
    Download Restriction: no

    File URL: https://libkey.io/10.47577/technium.v4i9.7421?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tec:techni:v:4:y:2022:i:1:p:76-88. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ana Maria Golita (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.