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2014 | OriginalPaper | Buchkapitel

Information Fusion in a Cloud-Enabled Environment

verfasst von : Erik Blasch, Yu Chen, Genshe Chen, Dan Shen, Ralph Kohler

Erschienen in: High Performance Cloud Auditing and Applications

Verlag: Springer New York

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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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Titel: Information Fusion in a Cloud-Enabled Environment
verfasst von: Erik Blasch
Yu Chen
Genshe Chen
Dan Shen
Ralph Kohler
Verlag: Springer New York
Buch: High Performance Cloud Auditing and Applications
Print ISBN: 978-1-4614-3295-1

Electronic ISBN: 978-1-4614-3296-8

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-1-4614-3296-8_4

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