DocumentCode :
737185
Title :
Network Challenges of New Sources of Big Data
Author :
Komarov, Mikhail
Volume :
2
fYear :
2015
fDate :
13-16 July 2015
Firstpage :
27
Lastpage :
36
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.
Keywords :
Absorption; Big data; Context; Nanoscale devices; Noise; Propagation losses; big data; molecular; nanoscale networks; terahertz;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Informatics (CBI), 2015 IEEE 17th Conference on
Conference_Location :
Lisbon, Portugal
Type :
conf
DOI :
10.1109/CBI.2015.32
Filename :
7264764
Link To Document :
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