Special issue on big data for IoT cloud computing convergence

Web Intell. Pub Date : 2019-04-08 DOI:10.3233/WEB-190404
Z. Hou, Yang Xiao
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引用次数: 1

Abstract

Big data refers to the data set that cannot be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that requires new processing patterns to have stronger decision-making power, insight and process optimization capabilities The last decade has seen huge advances in the scale of data we routinely generate and collect in pretty much everything we do, as well as our ability to use technology to analyze and understand it. We have been witnessing a digital revolution associated with developments of various emerging technologies including ubiquitous computing devices, sensors and sensing devices, smart devices, cloud computing and big data analytics tools are dramatically changing the mode and accessibility of science, research and practice in all domains [1,4,8]. The Internet of Things is an important part of the new generation of information technology, and also an important stage of development in the “information” era. Internet of Things (IoT) applications are considered to be a major source of big data obtained from a more connected dynamic and real life world and is evolving at a rapid pace. The realization of the IoT vision brings Information and Communication Technology (ICT) closer to many aspects of the real-world life instead of the virtual life through advanced theories, algorithms and applications. Technology of real-world IoT based on cloud computing has rapidly emerged as a novel industry and life paradigm. These topics will be the most comprehensive field focused on the various aspects of advances in computer engineering technologies, applications, and services. In cloud computing environments that include mobile infrastructures, the most important and final goal is to provide users more secure and richer Internet of Things services. Tremendous advances in algorithms of sensing, processing, communication and actuating core technologies are leading to new intelligent IoT services in our life such as smart cities, smart healthcare, smart grids, and others to improve all aspects of life. There might be many issues to realize it and provide intelligence IoT services based on the advanced applied algorithms and application technologies with much effort and enormous attention. The advanced applied algorithms and application technologies of this research area poses challenges such as context information fusion, security, reliability, autonomous and intelligent connecting, trust application and framework for realworld life. Advanced algorithms and applications for IoT based on the cloud computing research contributions that present new technologies, concepts, or analysis, reports on experiences and experiments of implementation and application of theories, and tutorials on new trends, are required in this research fields [9]. The following is a non-exhaustive list of topics in focus of this special issue:
大数据与物联网云计算融合专题
大数据是指在一定时间内,传统软件工具无法捕获、管理和处理的数据集。它是一个巨大的、高增长率的、多样化的信息资产,需要新的处理模式来拥有更强的决策能力、洞察力和流程优化能力。过去十年,我们在几乎所有事情中日常生成和收集的数据规模以及我们使用技术分析和理解数据的能力都取得了巨大进步。我们目睹了一场与各种新兴技术的发展相关的数字革命,包括无处不在的计算设备、传感器和传感设备、智能设备、云计算和大数据分析工具,这些技术正在极大地改变所有领域的科学、研究和实践的模式和可及性[1,4,8]。物联网是新一代信息技术的重要组成部分,也是“信息化”时代发展的重要阶段。物联网(IoT)应用被认为是大数据的主要来源,这些数据来自一个更加紧密联系的动态和现实生活世界,并且正在快速发展。物联网愿景的实现,通过先进的理论、算法和应用,使信息通信技术(ICT)更接近现实生活的许多方面,而不是虚拟生活。基于云计算的现实物联网技术已迅速成为一种全新的产业和生活范式。这些主题将是最全面的领域,重点关注计算机工程技术、应用和服务的各个方面的进展。在包含移动基础设施的云计算环境中,为用户提供更安全、更丰富的物联网服务是最重要和最终的目标。传感、处理、通信和驱动核心技术算法的巨大进步,正在引领我们生活中新的智能物联网服务,如智慧城市、智能医疗、智能电网等,以改善生活的方方面面。基于先进的应用算法和应用技术来实现智能物联网服务,需要付出大量的努力和巨大的关注,可能会遇到很多问题。该研究领域的先进应用算法和应用技术对上下文信息融合、安全可靠性、自主智能连接、信任应用和现实生活框架等提出了挑战。本研究领域需要基于云计算研究贡献提出新技术、新概念或新分析的物联网高级算法和应用,理论实现和应用的经验和实验报告,新趋势的教程[9]。以下是本期特刊关注的主题的非详尽清单:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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