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High Performance Cloud Auditing and Applications pp 91–115Cite as

Information Fusion in a Cloud-Enabled Environment

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Abstract

Recent advances in cloud computing pose interesting capabilities for information fusion which have similar requirements of big data computations. With a cloud enabled environment, information fusion systems could be conducted over vast amounts of entities across multiple databases. In order to properly implement information fusion in a cloud, information management, system design, and real-time execution must be considered. In this chapter, three aspects of current developments integrating low/high-level information fusion (LLIF/HLIF) and cloud computing are discussed: (1) agent-based service architectures, (2) ontologies, and (3) metrics (timeliness, confidence, and security). We introduce the Cloud-Enabled Bayes Network (CEBN) for wide area motion imagery target tracking and identification. The Google Fusion Tables service is also selected as a case study to illustrate commercial cloud-based information fusion applications.

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Acknowledgements

This material is based upon work partially supported by the Air Force Office of Scientific Research (AFOSR) and the Air Force Research Laboratory (AFRL) Visiting Faculty Research Program (VFRP) extension grant LRIR 11RI01COR. The authors appreciate the insightful directions from Dr. Frederica Darema of the Dynamic Data Driven Application System (DDDAS) concept for big data concerns. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Air Force.

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Authors and Affiliations

  1. Air Force Research Laboratory, Rome, NY, USA

    Erik Blasch & Ralph Kohler

  2. SUNY-Binghamton, Binghamton, NY, USA

    Yu Chen

  3. Intelligent Fusion Technology, Inc., Gaithersburg, MD, USA

    Genshe Chen & Dan Shen

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  1. Erik Blasch
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  2. Yu Chen
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  1. Air Force Research Laboratory, Rome, New York, USA

    Keesook J. Han

  2. School of Computing and Engineering, University of Missouri - Kansas City, Kansas City, Missouri, USA

    Baek-Young Choi

  3. Department of Engineering Technology The Dwight Look College of Engineering, Texas A&M University, College Station, Texas, USA

    Sejun Song

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Blasch, E., Chen, Y., Chen, G., Shen, D., Kohler, R. (2014). Information Fusion in a Cloud-Enabled Environment. In: Han, K., Choi, BY., Song, S. (eds) High Performance Cloud Auditing and Applications. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3296-8_4

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