Analyzing the potential of mobile opportunistic networks for big data applications

The advantages brought by opportunistic data delivery make mobile opportunistic networking a promising technology for big data computing. Thus, it is important to study the potential of mobile opportunistic networks in supporting big data applications by analyzing their fundamental data disseminatio...

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Published in:IEEE network 2015-09, Vol.29 (5), p.57-63
Main Authors: Wang, Shengling, Wang, Xia, Huang, Jianhui, Bie, Rongfang, Cheng, Xiuzhen
Format: Article
Language:English
Subjects:
Analytical models
Big data
Cloud computing
Computation
Data management
Information dissemination
Mathematical analysis
Mobile communication
Mobile computing
Networks
Spreading
State of the art
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creator Wang, Shengling
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description The advantages brought by opportunistic data delivery make mobile opportunistic networking a promising technology for big data computing. Thus, it is important to study the potential of mobile opportunistic networks in supporting big data applications by analyzing their fundamental data dissemination properties. However, such an analysis is nontrivial as a large dimension of elements may affect the data spreading behavior in mobile opportunistic networks. In this article, we first outline the challenges of analyzing the potential of mobile opportunistic networks for big data applications. Then we survey the state-of-the-art analytical results on data dissemination properties in mobile opportunistic networks. Finally, we summarize our analytical results and present a few open research issues that may foster future research endeavors on mobile opportunistic networks to support big data applications.
doi_str_mv 10.1109/MNET.2015.7293306
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source IEEE Electronic Library (IEL) Journals
subjects Analytical models
Big data
Cloud computing
Computation
Data management
Information dissemination
Mathematical analysis
Mobile communication
Mobile computing
Networks
Spreading
State of the art
title Analyzing the potential of mobile opportunistic networks for big data applications
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