skip to main content
research-article

Real-time sensor data streams

Published: 17 September 2015 Publication History

Abstract

Today's observation streams of large numbers of geographically distributed sensors in geosensor networks arrive continuously at powerful servers, and users are interested in analyzing the sensor data streams in real-time. This article investigates challenges in data management that arise when massive real-time data streams become available and discusses different data management technologies for managing and analyzing real-time sensor data streams.

References

[1]
J. Abdul, M. B. Potdar, and P. Chauhan. Parallel and Distributed GIS for Processing Geo-data : An Overview. International Journal of Computer Applications, 106(16):9--16, 2014.
[2]
A. Aji, F. Wang, H. Vo, R. Lee, Q. Liu, X. Zhang, and J. Saltz. Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce. Proceedings VLDB Endowment, 6(11):1009, 2013.
[3]
I. F. Akyildiza, X. Wang, and W. Wang. Wireless mesh networks: a survey. Computer Networks, 47(4):445--487, 2005.
[4]
M. Ali, B. Chandramouli, J. Goldstein, and R. Schindlauer. The extensibility framework in Microsoft StreamInsight. In 2011 IEEE 27th International Conference on Data Engineering, pages 1242--1253. Ieee, Apr. 2011.
[5]
AMPLab-UCBerkeley. SPARKR software, 2015.
[6]
G. Andrienko, N. Andrienko, P. Jankowski, D. Keim, M. Kraak, a. MacEachren, and S. Wrobel. Geovisual analytics for spatial decision support: Setting the research agenda. International Journal of Geographical Information Science, 21(8):839--857, 2007.
[7]
Apache. Hadoop, 2015.
[8]
A. Biem, E. Bouillet, and H. Feng. IBM InfoSphere Streams for Scalable, Real-Time, Intelligent Transportation Services. In SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, pages 1093--1103, Indianapolis, IN, 2010.
[9]
J. Dean and S. Ghemawat. MapReduce : Simplified Data Processing on Large Clusters. In Symposium on Operating System Design and Implementation (OSDI), pages 1--18, San Francisco, CA, 2010. USENIX.
[10]
A. Fox, C. Eichelberger, J. Hughes, and S. Lyon. Spatio-temporal indexing in non-relational distributed databases. In Proceedings - 2013 IEEE International Conference on Big Data, pages 291--299, 2013.
[11]
Github. GIS tools for Hadoop, 2015.
[12]
S. Kazemitabar, U. Demiryurek, M. Ali, A. Akdogan, and C. Shahabi. Geospatial stream query processing using Microsoft SQL Server StreamInsight. Proceedings of the VLDB Endowment, 3(1-2):1537--1540, 2010.
[13]
N. Marz and J. Warren. Big Data - Principles and best practices of scalable realtime data systems. Manning Publications, 2015.
[14]
J. Miller, M. Raymond, J. Archer, S. Adem, L. Hansel, M. Luti, Y. Zhao, A. Teredesai, and M. Ali. An Extensibility Approach for Spatio-temporal Stream Processing using Microsoft StreamInsight. In SSTD'11: Proceedings of the 12th international conference on Advances in spatial and temporal databases, pages 496--501, 2011.
[15]
R. N. Murty, G. Mainland, I. Rose, A. R. Chowdhury, A. Gosain, J. Bers, and M. Welsh. CitySense: An Urban-Scale Wireless Sensor Network and Testbed. 2008 IEEE Conference on Technologies for Homeland Security, pages 583--588, May 2008.
[16]
S. Nittel. A survey of geosensor networks: Advances in dynamic environmental monitoring. Sensors, 9(7):5664--5678, 2009.
[17]
L. Sanchez, J. Galache, V. Gutierrez, J. M. Hernandez, J. Bernat, A. Gluhak, and T. Garcia. SmartSantander: The meeting point between Future Internet research and experimentation and the smart cities. In Future Network & Mobile Summit (FutureNetw), pages 1--8, Warsaw, Poland, 2011.
[18]
TIBCO StreamBase. Streambase CEP, 2015.
[19]
B. B. Venkatesan. Feasibility study of continuous real-time spatial interpolation of phenomena using built-in functionality of a commercial data stream management system. Technical report, Department of Spatial Information Science, University of Maine, USA, Orono, 2013.
[20]
A. Witkowski, S. Bellamkonda, and H. Li. Continuous queries in Oracle. VLDB '07 Proceedings of the 33rd International Conference on Very Large Data Bases, pages 1173--1184, 2007.

Cited By

View all
  • (2024) ℓ 1,2 -Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features 2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10825278(384-393)Online publication date: 15-Dec-2024
  • (2023)Geostatistics on Real-Time Geodata Streams—An Extended Spatiotemporal Moran’s I Index with Distributed Stream Processing TechnologiesISPRS International Journal of Geo-Information10.3390/ijgi1203008712:3(87)Online publication date: 22-Feb-2023
  • (2023)Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical ReportJMIR Formative Research10.2196/430927(e43092)Online publication date: 17-Feb-2023
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image SIGSPATIAL Special
SIGSPATIAL Special  Volume 7, Issue 2
July 2015
43 pages
EISSN:1946-7729
DOI:10.1145/2826686
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 September 2015
Published in SIGSPATIAL Volume 7, Issue 2

Check for updates

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)4
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2024) ℓ 1,2 -Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features 2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10825278(384-393)Online publication date: 15-Dec-2024
  • (2023)Geostatistics on Real-Time Geodata Streams—An Extended Spatiotemporal Moran’s I Index with Distributed Stream Processing TechnologiesISPRS International Journal of Geo-Information10.3390/ijgi1203008712:3(87)Online publication date: 22-Feb-2023
  • (2023)Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical ReportJMIR Formative Research10.2196/430927(e43092)Online publication date: 17-Feb-2023
  • (2023)Online random feature forests for learning in varying feature spacesProceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v37i4.25581(4587-4595)Online publication date: 7-Feb-2023
  • (2022)Akan Verinin Makine Öğrenme Algoritmaları Kullanılarak ÖlçeklenmesiTürkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi10.54525/tbbmd.105117715:1(24-32)Online publication date: 27-Jun-2022
  • (2022)Scaling of Streaming Data Using Machine Learning AlgorithmsAnalyzing Multidisciplinary Uses and Impact of Innovative Technologies10.4018/978-1-6684-6015-3.ch008(172-186)Online publication date: 27-May-2022
  • (2021)A Sustainable Method for Publishing Interoperable Open Data on the WebData10.3390/data60800936:8(93)Online publication date: 19-Aug-2021
  • (2021)Spatial Interpolation Techniques on Participatory Sensing DataACM Transactions on Spatial Algorithms and Systems10.1145/34576097:3(1-32)Online publication date: 8-Jun-2021
  • (2021)LifeStream: a high-performance stream processing engine for periodic streamsProceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3445814.3446725(107-122)Online publication date: 19-Apr-2021
  • (2019)From Rocks to PebblesACM Transactions on Spatial Algorithms and Systems10.1145/33296775:3(1-38)Online publication date: 12-Aug-2019
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media