The papers in this special section focus on smart systems and intelligent networking that is powered with Big Data analytics. Smart systems, including Internet of Things (IoT), have emerged to address contemporary economic, societal, and environmental challenges, such as business and production automation, urban sustainability, climate change, healthcare, and globalization. They encompass different autonomous or collaborative systems with functions of sensing, actuation, and control for describing and analyzing a situation, and make decisions based on the available data in a predictive or adaptive manner. Intelligent networking enables these functions of smart systems by offering a global infrastructure for networked physical devices and everyday objects, which generates a gigantic amount of data, or big data. In addition, big data analytics is also employed in analyzing the big data so as to enable the networking to be intelligent and allow smart systems to perform astute, autonomous or collaborative actions. Nevertheless, the efficient and effective big data management and knowledge discovery of large-scale smart systems, big data analytics for intelligent networking, and networking technologies for big data (e.g., collection, processing, analysis and visualization) need more explorations.

中文翻译：

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客座社论：大数据分析支持的智能系统和智能网络专题介绍


本专题部分的论文重点关注由大数据分析提供支持的智能系统和智能网络。包括物联网 (IoT) 在内的智能系统的出现是为了应对当代经济、社会和环境挑战，例如商业和生产自动化、城市可持续发展、气候变化、医疗保健和全球化。它们包含不同的自主或协作系统，具有感知、驱动和控制功能，用于描述和分析情况，并以预测或自适应方式根据可用数据做出决策。智能网络通过为联网物理设备和日常物品提供全球基础设施来实现智能系统的这些功能，从而生成大量数据或大数据。此外，大数据分析还用于分析大数据，使网络智能化，让智能系统执行精明、自主或协作的行动。然而，大规模智能系统的高效、有效的大数据管理和知识发现、智能网络的大数据分析以及大数据的网络技术（例如收集、处理、分析和可视化）需要更多的探索。