skip to main content
extended-abstract

Tactical big data analytics: challenges, use cases, and solutions

Published: 17 April 2014 Publication History

Abstract

We discuss tactical challenges of the Big Data analytics regarding the underlying data, application space, and com- puting environment, and present a comprehensive solution framework motivated by the relevant tactical use cases. First, we summarize the unique characteristics of the Big Data problem in the Department of Defense (DoD) context and underline the main differences from the commercial Big Data problems. Then, we introduce two use cases, (i) Big Data analytics with multi-intelligence (multi-INT) sensor data and (ii) man-machine crowdsourcing using MapReduce framework. For these two use cases, we introduce Big Data analytics and cloud computing solutions in a coherent frame- work that supports tactical data, application, and computing needs.

References

[1]
Capt. Donald Harder, "Moving Navy Command and Control into the Future," January 2013.
[2]
A. Kittur, et al., "CrowdForge: Crowdsourcing Complex Work," in Proc. of USDI, 2011.
[3]
Amazon Mechanical Turk, https://www.mturk.com
[4]
A. Clauset, et al., "Hierarchical structure and the prediction of missing links in networks," Nature, 453:98, 2008.
[5]
Sector/Sphere, http://sector.sourceforge.net/
[6]
Ozone Platform, http://owfgoss.org/
[7]
FrameNet Project, https://framenet.icsi.berkeley.edu/fndrupal/
[8]
Y. Low, et al., "GraphLab: A New Framework for Parallel Machine Learning," in Proc. UAI, 2010.
[9]
Storm, http://storm-project.net/
[10]
D. Blei, et al., "Latent dirichlet allocation," Journal of Machine Learning Research, 3:993-1022, 2003.

Cited By

View all
  • (2021)Visualization of Big Data with Augmented Reality2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)10.1109/ICICCS51141.2021.9432383(928-932)Online publication date: 6-May-2021
  • (2020)A Cross-Domain Comparative Study of Big Data ArchitecturesInternational Journal of Cooperative Information Systems10.1142/S0218843020300016Online publication date: 2-Sep-2020
  • (2019)Research and Analysis of Technologies used in Big Data2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)10.1109/ICICT46931.2019.8977651(1-6)Online publication date: Sep-2019
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 41, Issue 4
March 2014
104 pages
ISSN:0163-5999
DOI:10.1145/2627534
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 April 2014
Published in SIGMETRICS Volume 41, Issue 4

Check for updates

Author Tags

  1. algorithms
  2. analytics
  3. big data
  4. cloud computing
  5. tactical environment

Qualifiers

  • Extended-abstract

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)17
  • Downloads (Last 6 weeks)0
Reflects downloads up to 17 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2021)Visualization of Big Data with Augmented Reality2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS)10.1109/ICICCS51141.2021.9432383(928-932)Online publication date: 6-May-2021
  • (2020)A Cross-Domain Comparative Study of Big Data ArchitecturesInternational Journal of Cooperative Information Systems10.1142/S0218843020300016Online publication date: 2-Sep-2020
  • (2019)Research and Analysis of Technologies used in Big Data2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)10.1109/ICICT46931.2019.8977651(1-6)Online publication date: Sep-2019
  • (2018)Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls2018 IEEE International Symposium on Technologies for Homeland Security (HST)10.1109/THS.2018.8574124(1-6)Online publication date: Oct-2018
  • (2018)Leadership of Data Annotation Teams2018 International Workshop on Social Sensing (SocialSens)10.1109/SocialSens.2018.00018(26-31)Online publication date: Apr-2018
  • (2016)Web IntelligenceBig Data10.4018/978-1-4666-9840-6.ch033(711-733)Online publication date: 2016
  • (2016)Categorizing Requirements for Enterprise Architecture Management in Big Data Literature2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)10.1109/EDOCW.2016.7584352(1-8)Online publication date: Sep-2016
  • (2015)Web IntelligenceHandbook of Research on Trends and Future Directions in Big Data and Web Intelligence10.4018/978-1-4666-8505-5.ch005(83-104)Online publication date: 2015
  • (2015)Military Simulation Big Data: Background, State of the Art, and ChallengesMathematical Problems in Engineering10.1155/2015/2983562015(1-20)Online publication date: 2015
  • (2015)Forensic Data Analysis Challenges in Large Scale SystemsIntelligent Distributed Computing IX10.1007/978-3-319-25017-5_42(451-457)Online publication date: 18-Oct-2015

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