Network Challenges of New Sources of Big Data
Mikhail Komarov
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Publication type: Proceedings Article
Publication date: 2015-07-01
Abstract
Big data is a term used to describe data sets so large and/or complex that traditional data processing algorithms and applications are inadequate. There are numerous challenges when handling these data including analysis, capture, search, sharing, storage, transfer, visualization and privacy. A significant portion of big data is expected to be generated by special types of networks -- wireless sensor systems. In this paper we first introduce the concept of big data and then proceed describing the current state-of-the-art in potential sources of big that may appear in the coming future including electromagnetic THz and bacterial micro- and nanoscale networks. We summarize the recent progress in these systems highlighting the problems that should be solved to make them realistic and contribute to the large big data picture.
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