网络技术大数据与人工智能专题导论

Jie Li, Jinsong Wu, Bin Hu, Chonggang Wang, M. Daneshmand, R. Malekian
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引用次数: 3

摘要

本专题的论文探讨了大数据和人工智能在网络技术中的应用。被称为大数据的海量数据的产生,催生了对管理这些数据的高效工具的需求。人工智能(AI)已经成为处理大数据的强大工具,最近在机器学习的多个方面取得了突破,包括深度学习。同时,信息网络变得越来越庞大和复杂,产生了大量的运行时统计数据,如流量负载、资源使用情况等。新兴的大数据和人工智能技术可能包括电子医疗、智能交通系统(ITS)、工业物联网(IIoT)、计算网络方面的智慧城市等一系列新的需求、应用和场景。大数据和人工智能驱动的网络技术也为发现网络资源分配、安全与隐私、系统架构、建模和应用等方面的新特征、刻画用户需求和系统能力提供了前所未有的耐心,需要更多的探索。这一特殊部分的重点是解决网络技术的大数据和人工智能。我们感谢对这一特别部分的贡献以及审稿人的宝贵和广泛的努力。这个特别部分的主题包括大数据和人工智能算法、模型、网络和系统架构、网络架构、
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introduction to the Special Section on Big Data and Artificial Intelligence for Network Technologies
The papers in this special section examines the deployment of Big Data and artificial intelligence for network technologies. The eneration of huge amounts of data, called big data, is creating the need for efficient tools to manage those data. Artificial intelligence (AI) has become the powerful tool in dealing with big data with recent breakthroughs at multiple fronts in machine learning, including deep learning. Meanwhile, information networks are becoming larger and more complicated, generating a huge amount of runtime statistics data such as traffic load, resource usages. The emerging big data and AI technologies may include a bunch of new requirements, applications and scenarios such as e-health, Intelligent Transportation Systems (ITS), Industrial Internet of Things (IIoT), and smart cities in the term of computing networks. The big data and AI driven network technologies also provide an unprecedented patient to discover new features, to characterize user demands and system capabilities in network resource assignment, security and privacy, system architecture, modeling and applications, which needs more explorations. The focus of this special section is to address the big data and artificial intelligence for network technologies. We appreciate contributions to this special section and the valuable and extensive efforts of the reviewers. The topics of this special section range from big data and AI algorithms, models, architecture for networks and systems to network architecture,
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