Cloud & fog computing: intelligent applications

IF 4.4 4区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mu-Yen Chen, E. Lughofer, E. Eğrioğlu
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Abstract

Nowadays, the Internet of Things (IoT) has been one of the most popular technologies that facilitate new interactions among things and humans to enhance the quality of life. With the rapid development of IoT, cloud and fog computing paradigm is emerging as an attractive solution for processing the data of IoT applications. In the cloud and fog environment, IoT applications are executed by the intermediate computing nodes, as well as the physical servers in cloud data centres. On the other hand, due to the resource limitations, resource heterogeneity, dynamic nature, and unpredictability of cloud and fog environment, it necessitates the resource management issues as one of the challenging problems to be considered in the fog landscape. Apart from the Internet of Things (IoT) issue in cloud and fog computing, today, the data security and integrity problems are receiving attention gradually, which avoids malicious data stealing and amending in cloud and fog computing by hackers. Additionally, to fulfill the requirements of authentication, confidentiality, integrity, and non-repudiation, the development of cloud and fog Computing needs lightweight cryptography to reduce workloads and improve performance. With the advance of smart city and Artificial Intelligence (AI), cloud and fog computing plays the role of saving and calculating data; hence, the more experts and researchers in the fields of communications networks and information technology, the more ideas and thoughts to enhance the performance.
云与雾计算:智能应用
如今,物联网(IoT)已成为最受欢迎的技术之一,它促进了物与人之间的新互动,以提高生活质量。随着物联网的快速发展,云和雾计算模式正在成为处理物联网应用数据的一种有吸引力的解决方案。在云和雾环境中,物联网应用程序由中间计算节点以及云数据中心的物理服务器执行。另一方面,由于云和雾环境的资源局限性、资源异质性、动态性和不可预测性,资源管理问题成为雾景观中需要考虑的具有挑战性的问题之一。除了云计算和雾计算中的物联网问题外,如今,数据安全和完整性问题也逐渐受到关注,避免了黑客在云计算和云计算中恶意窃取和修改数据。此外,为了满足身份验证、机密性、完整性和不可否认性的要求,云和雾计算的开发需要轻量级密码学来减少工作负载并提高性能。随着智慧城市和人工智能(AI)的发展,云和雾计算起到了保存和计算数据的作用;因此,通信网络和信息技术领域的专家和研究人员越多,就越有提高性能的想法和思路。
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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来源期刊
Enterprise Information Systems
Enterprise Information Systems 工程技术-计算机:信息系统
CiteScore
11.00
自引率
6.80%
发文量
24
审稿时长
6 months
期刊介绍: Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.
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