Enhancing E-business in industry 4.0: Integrating fog/edge computing with Data LakeHouse for IIoT

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Future Generation Computer Systems-The International Journal of Escience Pub Date : 2024-12-14 DOI:10.1016/j.future.2024.107653

Hayat Routaib , Soukaina Seddik , Abdelali Elmounadi , Anass El Haddadi

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Abstract

E-business is evolving towards the creation of a global network of interconnected smart devices, aimed at enhancing a wide array of applications through their ability to sense, connect, and analyze data. At the heart of this evolution, the Industrial Internet of Things (IIoT) emerges as a pivotal element in the era of ‘Industry 4.0.’ This paper proposes a novel framework that integrates fog/edge computing architecture with a Data LakeHouse model for the IIoT ecosystem, incorporating unified meta-metadata for superior data processing and governance. This innovative approach addresses key challenges such as data management, latency, and system efficiency, essential for optimizing operations and reinforcing decision-making. It represents a substantial leap forward in leveraging IIoT capabilities within e-business environments, ensuring data integrity, enabling real-time analytics, and enhancing operational efficiency.

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加强工业4.0中的电子商务：将雾/边缘计算与工业物联网的数据湖集成

电子商务正朝着创建一个由相互连接的智能设备组成的全球网络的方向发展，其目的是通过它们感知、连接和分析数据的能力来增强广泛的应用程序。在这一演变的核心，工业物联网（IIoT）成为“工业4.0”时代的关键要素。本文提出了一个新的框架，将雾/边缘计算架构与工业物联网生态系统的数据湖之家模型集成在一起，结合统一的元数据，实现卓越的数据处理和治理。这种创新的方法解决了数据管理、延迟和系统效率等关键挑战，对于优化操作和加强决策至关重要。它代表了在电子商务环境中利用工业物联网功能、确保数据完整性、实现实时分析和提高运营效率方面的重大飞跃。

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.