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Digital Dimensions of Industry 4.0: Opportunities for Autonomic Computing and Applications

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Autonomic Computing in Cloud Resource Management in Industry 4.0

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

While walking the path through a fourth industrial revolution, the journey of transformation from the time when human intervention was needed, to the current state where the processes are completely automated and are still continuing to a new horizon. A game-changer adoption of the technology of “autonomic computing” supports industrial systems from deep inside and helps sustain with the ever-increasing complexity of systems, helps in customization to a greater extent, helps to manage the maintenance and reliability of the system that is beyond the limits of just human intervention. With this understanding, our work talks about important digital dimensions of smart manufacturing systems. It develops high-level awareness of technologies and ecosystems of smart manufacturing—Industry 4.0. Furthermore, readers would be able to identify tremendous opportunities for applications of computational intelligence referring to the capabilities and aspects of autonomic computing; those are self-healing, self-configuring, self-optimization, and self-protecting; thus pointers for innovation and applied research

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Authors and Affiliations

  1. Analytics and Insights, Tata Consultancy Services, Pune, India

    Neha Sharma

  2. Zeal Institute of Business Administration, Computer Application and Research, Savitribai Phule Pune University, Pune, India

    Madhavi Shamkuwar

  3. TCS Data Office, Analytics and Insights group, Tata Consultancy Services, Pune, India

    Preeti Ramdasi

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  1. Neha Sharma
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  2. Madhavi Shamkuwar
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  3. Preeti Ramdasi
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Correspondence to Preeti Ramdasi .

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Editors and Affiliations

  1. Department of Informatics, School of Computer Science University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Tanupriya Choudhury

  2. Department of Informatics, School of Computer Science University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Bhupesh Kumar Dewangan

  3. Department of Informatics, School of Computer Science University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Ravi Tomar

  4. Computing and Software Engineering, Arba Minch University, Arba Minch, Ethiopia

    Bhupesh Kumar Singh

  5. Nanyang Technological University (NTU), Singapore, Singapore

    Teoh Teik Toe

  6. Duy Tan University, Da Nang, Vietnam

    Nguyen Gia Nhu

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Sharma, N., Shamkuwar, M., Ramdasi, P. (2021). Digital Dimensions of Industry 4.0: Opportunities for Autonomic Computing and Applications. In: Choudhury, T., Dewangan, B.K., Tomar, R., Singh, B.K., Toe, T.T., Nhu, N.G. (eds) Autonomic Computing in Cloud Resource Management in Industry 4.0. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-71756-8_19

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