当前位置: X-MOL 学术Future Gener. Comput. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Enhancing E-business in industry 4.0: Integrating fog/edge computing with Data LakeHouse for IIoT
Future Generation Computer Systems ( IF 6.2 ) Pub Date : 2024-12-14 , DOI: 10.1016/j.future.2024.107653
Hayat Routaib, Soukaina Seddik, Abdelali Elmounadi, Anass El Haddadi

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.

中文翻译:


增强工业 4.0 中的电子商务:将雾/边缘计算与 IIoT 的数据湖仓一体集成



电子商务正在朝着创建互连智能设备的全球网络发展,旨在通过其感知、连接和分析数据的能力来增强各种应用程序。作为这一演变的核心,工业物联网 (IIoT) 成为“工业 4.0”时代的关键元素。本文提出了一种新的框架,将雾/边缘计算架构与 IIoT 生态系统的数据湖屋模型集成在一起,并结合统一的元元数据以实现卓越的数据处理和治理。这种创新方法解决了数据管理、延迟和系统效率等关键挑战,这对于优化运营和加强决策至关重要。它代表着在电子商务环境中利用 IIoT 功能、确保数据完整性、实现实时分析和提高运营效率方面取得了重大飞跃。
更新日期:2024-12-14
down
wechat
bug