Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

被引:24
|
作者
McKee, D. W. [1 ]
Clement, S. J. [1 ]
Almutairi, J. [1 ]
Xu, Jie [1 ]
机构
[1] Univ Leeds, Sch Comp, Leeds, W Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
Cloud; SOA; Services; Big Data; Stream Processing; Smart Cities; HPC; Edge; Fog; Security; Simulation; Workflows; IoT; IoS; SIMaaS; WFaaS; Industry; 4.0; SMART CITY; INTERNET; THINGS; CLOUD; SIMULATION;
D O I
10.1109/ISADS.2017.56
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The next era of computing is the evolution of the Internet of Things (IoT) and Smart Cities with development of the Internet of Simulation (IoS). The existing technologies of Cloud, Edge, and Fog computing as well as HPC being applied to the domains of Big Data and deep learning are not adequate to handle the scale and complexity of the systems required to facilitate a fully integrated and automated smart city. This integration of existing systems will create an explosion of data streams at a scale not yet experienced. The additional data can be combined with simulations as services (SIMaaS) to provide a shared model of reality across all integrated systems, things, devices, and individuals within the city. There are also numerous challenges in managing the security and safety of the integrated systems. This paper presents an overview of the existing state-of-the-art in automating, augmenting, and integrating systems across the domains of smart cities, autonomous vehicles, energy efficiency, smart manufacturing in Industry 4.0, and healthcare. Additionally the key challenges relating to Big Data, a model of reality, augmentation of systems, computation, and security are examined.
引用
收藏
页码:5 / 11
页数:7
相关论文
共 50 条
  • [41] Formal Modeling of Testing Software for Cyber-Physical Automation Systems
    Buzhinsky, Igor
    Pang, Cheng
    Vyatkin, Valeriy
    [J]. 2015 IEEE TRUSTCOM/BIGDATASE/ISPA, VOL 3, 2015, : 301 - 306
  • [42] Knowledge-based cyber-physical systems for assembly automation
    Merdan, Munir
    Hoebert, Timon
    List, Erhard
    Lepuschitz, Wilfried
    [J]. PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL, 2019, 7 (01): : 223 - 254
  • [43] Panel on Cyber Physical Systems Challenges with Information Fusion: Control Systems - Examples of Cyber-Physical Systems
    Salerno, J.
    [J]. SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXV, 2016, 9842
  • [44] Cyber-physical Design of Data Centers Cooling Systems Automation
    Mousavi, Arash
    Vyatkin, Valeriy
    Berezovskaya, Yulia
    Zhang, Xiaojing
    [J]. 2015 IEEE TRUSTCOM/BIGDATASE/ISPA, VOL 3, 2015, : 254 - 260
  • [45] Cognitive automation architecture for Cyber-Physical Production Systems (CPPS)
    Mankowski A.
    Antonow D.
    Moriz N.
    Trsek H.
    [J]. VDI Berichte, 2022, 2022 (2399): : 219 - 230
  • [46] Automation in Foundry Industry: Modern Information and Cyber-Physical Systems
    Arkhipov, M., V
    Matrosova, V. V.
    Volnov, I. N.
    [J]. ADVANCES IN AUTOMATION, 2020, 641 : 382 - 392
  • [47] When Cyber Got Real: Challenges In Securing Cyber-Physical Systems
    Zanero, Stefano
    [J]. 2018 IEEE SENSORS, 2018, : 1370 - 1373
  • [48] Fundamental Challenges of Cyber-Physical Systems Security Modeling
    Bakirtzis, Georgios
    Ward, Garrett L.
    Deloglos, Christopher J.
    Elks, Carl R.
    Horowitz, Barry M.
    Fleming, Cody H.
    [J]. 2020 50TH ANNUAL IEEE-IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS-SUPPLEMENTAL VOLUME (DSN-S), 2020, : 33 - 36
  • [49] Challenges of interdisciplinary development of Cyber-Physical Production Systems
    Vogel-Heuser, Birgit
    Fantuzzi, Cesare
    Wimmer, Manuel
    Boehm, Markus
    Fay, Alexander
    [J]. AT-AUTOMATISIERUNGSTECHNIK, 2019, 67 (06) : 445 - 454
  • [50] Network Challenges for Cyber-Physical Systems in Training Programmes
    Arseniev, Dmitry G.
    Malyugin, Victor, I
    Potekhin, Vyacheslav V.
    Hieu Cao Viet
    Hoang-Sy Nguyen
    Tan Nguyen Ngoc
    [J]. CYBER-PHYSICAL SYSTEMS AND CONTROL, 2020, 95 : 754 - 759