A reference architecture based on Edge and Cloud Computing for Smart Manufacturing

被引:7
|
作者
Vater, Johannes [1 ]
Harscheidt, Lars [1 ]
Knoll, Alois [2 ]
机构
[1] BMW Grp, Prod & Planning Electrified Powertrains, Munich, Germany
[2] Tech Univ Munich, Robot Artificial Intelligence & Real Time Syst, Munich, Germany
关键词
edge computing; cloud computing; framework; industry; 4.0; smart manufacturing; internet of things; data analytics; prescriptive analytics; prescriptive automation; SYSTEMS; FRAMEWORK;
D O I
10.1109/icccn.2019.8846934
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The paper examines the development of production systems from automated to data analysis-supported process control. In current concepts, process optimization is carried out by data analysis with the help of a decision support system after the production process. Prescriptive automation envisages controlling the process before and autonomously on the basis of a prescriptive analytics model. The development of an IT architecture is identified as an essential part of the overall concept. On the basis of expert interviews and current literature reviews, the question is answered, which requirements an IT architecture for prescriptive automation has to fulfill. These requirements are opposed to solution components with the goal of a modular architectural concept. On basis of the requirements and therefore needed solution components, a reference architecture is identified on the assumption of the data processing resources. The main processing components of this architecture are a combination of edge and cloud computing.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing
    Qi, Qinglin
    Tao, Fei
    [J]. IEEE ACCESS, 2019, 7 : 86769 - 86777
  • [2] Smart Parking System Based on Edge-Cloud-Dew Computing Architecture
    Yu, Yuan-Chih
    [J]. ELECTRONICS, 2023, 12 (13)
  • [3] Edge-enabled cloud computing management platform for smart manufacturing
    Ying, Jeffrey
    Hsieh, Jackie
    Hou, Dennis
    Hou, Janpu
    Liu, Tuo
    Zhang, Xiaobin
    Wang, Yuxi
    Pan, Yen-Ting
    [J]. 2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0 & IOT), 2021, : 682 - 686
  • [4] Edge Computing and Digital Twin Based Smart Manufacturing
    Protner, Jernej
    Pipan, Miha
    Zupan, Hugo
    Resman, Matevz
    Simic, Marko
    Herakovic, Niko
    [J]. IFAC PAPERSONLINE, 2021, 54 (01): : 831 - 836
  • [5] Smart Grid Rebuilding based on Cloud Computing Architecture
    Ziouche, Leila
    Ben Meskina, Syrine
    Khalgui, Mohamed
    Kahloul, Laid
    Li, ZhiWu
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 2259 - 2266
  • [6] A Data Transformation Adapter for Smart Manufacturing Systems with Edge and Cloud Computing Capabilities
    Saez, Miguel
    Lengieza, Steven
    Maturana, Francisco
    Barton, Kira
    Tilbury, Dawn
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2018, : 519 - 524
  • [7] From the Cloud to Edge and IoT: a Smart Orchestration Architecture for Enabling Osmotic Computing
    Carnevale, Lorenzo
    Celesti, Antonio
    Galletta, Antonino
    Dustdar, Schahram
    Villari, Massimo
    [J]. 2018 32ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2018, : 419 - 424
  • [8] Sapparchi: An Architecture for Smart City Applications from Edge, Fog and Cloud Computing
    Souza, Arthur
    Izidio, Larysse
    Rocha, Aluizio
    Cacho, Nelio
    Batista, Thais
    [J]. 2019 5TH IEEE INTERNATIONAL SMART CITIES CONFERENCE (IEEE ISC2 2019), 2019, : 262 - 267
  • [9] An Edge-Fog-Cloud computing architecture for IoT and smart metering data
    Oprea, Simona-Vasilica
    Bara, Adela
    [J]. PEER-TO-PEER NETWORKING AND APPLICATIONS, 2023, 16 (02) : 818 - 845
  • [10] An Edge-Fog-Cloud computing architecture for IoT and smart metering data
    Simona-Vasilica Oprea
    Adela Bâra
    [J]. Peer-to-Peer Networking and Applications, 2023, 16 : 818 - 845