Network Challenges of New Sources of Big Data

Mikhail M. Komarov
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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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大数据新来源的网络挑战
大数据是一个术语,用于描述庞大和/或复杂的数据集,传统的数据处理算法和应用程序是不够的。在处理这些数据时,存在许多挑战,包括分析、捕获、搜索、共享、存储、传输、可视化和隐私。预计很大一部分大数据将由特殊类型的网络产生——无线传感器系统。在本文中,我们首先介绍了大数据的概念,然后继续描述未来可能出现的潜在大数据来源的最新技术,包括电磁太赫兹和细菌微纳米尺度网络。我们总结了这些系统的最新进展,突出了应该解决的问题,使它们成为现实,并有助于大数据的发展。
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