Hayat Routaib , Soukaina Seddik , Abdelali Elmounadi , Anass El Haddadi
{"title":"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","authors":"Hayat Routaib , Soukaina Seddik , Abdelali Elmounadi , Anass El Haddadi","doi":"10.1016/j.future.2024.107653","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55132,"journal":{"name":"Future Generation Computer Systems-The International Journal of Escience","volume":"166 ","pages":"Article 107653"},"PeriodicalIF":6.2000,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing E-business in industry 4.0: Integrating fog/edge computing with Data LakeHouse for IIoT\",\"authors\":\"Hayat Routaib , Soukaina Seddik , Abdelali Elmounadi , Anass El Haddadi\",\"doi\":\"10.1016/j.future.2024.107653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":55132,\"journal\":{\"name\":\"Future Generation Computer Systems-The International Journal of Escience\",\"volume\":\"166 \",\"pages\":\"Article 107653\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Generation Computer Systems-The International Journal of Escience\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167739X24006174\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Generation Computer Systems-The International Journal of Escience","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167739X24006174","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
Enhancing E-business in industry 4.0: Integrating fog/edge computing with Data LakeHouse for IIoT
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.
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.