Streaming Analytics Over Real-Time Big Data

Ranjitha P

Streaming Analytics Over Real-Time Big Data

Ranjitha P *

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Streaming Analytics Over Real-Time Big Data

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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.

References

8 Cites in Article

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1. Ismail Ari,Erdi Olmezogullari,Omer Celebi (2012). Data stream analytics and mining in the cloud. 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 857-862.
2. Nader Mohamed,Uae University,Jameela Uae,Al-Jaroodi (2014). Real-Time Big Data Analytics: Applications and Challenges. IEEE International Conference On High Performance Computing and Simulation (HPCS)
3. Jaegul Choo,Haesun Park,Georgia Tech (2013). Customizing Computational Methods For Visual Analytics With Big Data. IEEE Computer Graphics and Applications
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8. Fan Bao,Dalian University,China Dalian,Jia Chen (2014). Visual framework for big data in d3.js. Electronics, Computer and Applications

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ranjitha P. 2015. "Streaming Analytics Over Real-Time Big Data". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C5).

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GJCST Volume 15 Issue C5

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

D.4.7

Submission ReceivedDecember 6, 2014
Peer Review Double Blind
Handling Editor
Accepted January 4, 2015
Published July 17, 2015

Version of record

v1.2

Issue date

July 17, 2015

Language

English

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Ranjitha P (PhD/Dr. count: 0)

View Count (all-time): 483

Total Views (Real + Logic): 2287

Total Downloads (simulated): 117

Publish Date: 2015 01, Thu

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Total Views: 2.3K

Total Downloads: 117

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