International Journal of Advanced Computing and Communication Systems

Temperature Data Analytics using Google Map

Nivetha C.C, Prakasamani S, Sivabalan M and Kavitha M.S, Department of CSE Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On :

Revised On :

Accepted On :

Published On :

Volume 03, Issue 02

Page No : 026-028

Abstract

Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. “ Temperature Data Analytics using Google map” is a web application that is deployed in AWS EC2. Temperature Data Analytics is an indispensable technique where analysis of real-time temperature data is performed. Based on the analysis, the results are envisioned in the form of charts. This application uses Google map for enabling the users to pursuit their desired location to find out the current temperature of the location and get to know about other significant weather parameters which aids users to decide the type of climate in their location. The current temperature of the user’ s current location is utterly provided. Analysis on real-time historical temperature data for important cities are performed and charts are generated showing variations in temperature and other related weather parameters. Temperature data analytics can be extended further to other analytics techniques such as predictive analytics.

Keywords

Cloud computing - web application – AWS EC2.

Cite this Article

Nivetha C.C, Prakasamani S, Sivabalan M and Kavitha M.S, “Temperature Data Analytics using Google Map, ”International Journal of Advanced Computing and Communication Systems, pp. 026-028, July, 2016.

Copyright

© 2016 Nivetha C.C, Prakasamani S, Sivabalan M and Kavitha M.S. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.