Streaming Analytics Over Real-Time Big Data
Keywords:
D3js, stream processing, siddhi CEP, big data analytics, liferay
Abstract
A portal is developed using open source tool called Liferay for water management and city management using data acquired from sensors deployed in overhead water tanks and across the city at different locations The parameters captured from sensors are water level and parameters captured sensors deployed across the city include dust UV temperature light humidity sound and air quality Data generated by these sensors amounts nearly megabytes of data per day and gigabytes on an annual rate Real time analytics help in monitoring and management of water resources and rate of pollution across the city Visualizations are provided in the form of a time series graph The visual representations are plotted using d3 js graphs in real-time hence allowing the users to take corrective decisions with respect to water usage and managing pollution across the city
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Published
2015-03-15
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Copyright (c) 2015 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.