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SMART: Real-time Analytics for Environment Monitoring & Actuation

ElSioufy, M.A.O (2015) SMART: Real-time Analytics for Environment Monitoring & Actuation. Master's Thesis / Essay, Computing Science.

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Time-series data processing and real time data analysis are big issues nowadays. Recent advances in sensor technologies as well as their innovative designs allows them to be plugged anywhere, reporting thousands of measures each second. With the development of sensing, wireless communication, and Internet technologies, almost every object in our everyday life has the ability to emit data. How to store and query these enormous amounts of data efficiently remains an open research question. In this project we developed an extendable cloud-based system for the analysis and visualization of timeseries data in real-time. We target a specific IoT setting, where a physical environment, embedded with sensors that continuously measure and report its state is monitored, analyzed and queried about its state-behaviours. The proposed system is built as an extensible software library on top of Apache Spark, a cluster computing engine and integrates with other technologies for IO and Visualization . We have applied and tested our solution on a simulated HVAC domain, where a set of rooms equipped with sensors have been monitored, analyzed and queried later to regulate their individual temperature levels.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 08:07
Last Modified: 15 Feb 2018 08:07

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