Skip to main content
SpringerLink
Log in

SLMA and Novel Software Technologies for Industry 4.0

  • Conference paper
  • First Online:
Advances in Soft and Hard Computing (ACS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 889))

Included in the following conference series:

Abstract

The paper discusses how active deployment of modern networks in Industry 4.0 stimulates the further development of the novel software technologies for IoT, Fog Computing and Robotics. Such novel applications and mobile apps operate nowadays on advanced hardware and software platforms. The approaches to their development are often aimed on productive and energy-efficient Cloud and Fog co-operation scenarios. The important paradigms and relevant approaches for development of so-called novel SLMA (Server-Less Mobile Apps) have been discussed. An overview of the up-to-date robotics applications and platforms was given. The existing platforms and frameworks for their development are considered as well as analysis of the properties of the future robot platforms is offered. The specials kind of the advanced web apps, so-called PWA (Progressive Web Apps) are suitable for the purpose of spared data use, autonomous access and participation on clouds, increasing of performance, fault tolerance, as well as of online activity of the users.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Luntovskyy, A., Spillner, J.: Architectural Transformations in Network Services and Distributed Systems: Service Vision. Springer, Wiesbaden (2017). ISBN 9-783-6581-484-09

    Book  Google Scholar 

  2. Luntovskyy, A., Guetter, D., Melnyk, I.: Planung und Optimierung von Rechnernetzen: Methoden, Modelle, Tools für Entwurf, Diagnose und Management im Lebenszyklus von drahtgebundenen und drahtlosen Rechnernetzen. Springer Vieweg, Wiesbaden 411 S. (2011). ISBN 978-3-8348-1458-6.(in German)

    Google Scholar 

  3. Luntovskyy, A., et al.: New Architectures in Distributed Systems, Monograph. Kolo, Lviv-Drogobych, 328 p. (2015). ISBN 978-617-642-185-6. (in Ukrainian)

    Google Scholar 

  4. Luntovskyy, A., Guetter, D., Klymash, M.: Up-to-date paradigms for distributed computing. In: 2nd International IEEE Conference AICT-2017, July 2017, pp. 113–119. IEEE Xplore (2017). https://doi.org/10.1109/aiact.2017.8020078

  5. Luntovskyy, A., Globa, L., Stepurin, O.: Performance-energy tradeoff models for distributed computing. In: 13th International IEEE Conference TCSET-2016, February 2016, pp. 613–617. IEEE Xplore (2016). https://doi.org/10.1109/blackseacom.2016.7901554

  6. Spillner, J.: Autonomous participation in cloud services, Dresden (2012)

    Google Scholar 

  7. PWA. http://t3n.de/news/wahre-konversionskiller-lange-594340/

  8. Siciliano, B., Khatib, O.: Handbook of Robotics, p. 1624. Springer, Heidelberg (2008). ISBN 978-3-540-30301-5

    Book  Google Scholar 

  9. Khatib, O.: Stanford Univ. CA, USA, International Foundation of Robotics Research. http://www.ifrr.org/

  10. Spillner, J.: Current and Future Platforms for Robotics, Manuscript to a probe talk for Habilitation, Dresden, 33 p. (2015)

    Google Scholar 

  11. Cornejo, A., Nagpal, R.: Kilobots: Distributed Range-Based Relative Localization of Robot Swarms. Algorithmic Foundations of Robotics XI, April 2015

    Google Scholar 

  12. Spillner, J.: ROS and Cloud Robotics, Teaching Lecture, Zurich (2017)

    Google Scholar 

  13. Rubenstein, M.: A self-organizing thousand-robot swarm. Biologically Inspired Engineering (2017). https://wyss.harvard.edu/a-self-organizing-thousand-robot-swarm/

  14. NoDNA.de. https://nodna.de/Bioloid-Premium-Robot-Kit-V2

  15. Luntovskyy, A., et al.: Intelligent networking and bio-inspired engineering. In: 2nd International IEEE Conference UkrMiCo 2017, September 2017, Odessa, Ukraine, 4 p. IEEE Xplore (2017). http://ieeexplore.ieee.org/document/8095421/

  16. IBH IT-Service GmbH Dresden Workshop on 16 March 2017

    Google Scholar 

  17. Google Fuchsia OS GitHub. https://github.com/fuchsia-mirror/

Download references

Acknowledgment

Author’s acknowledgements to the BA Dresden colleagues Prof. Dr. L. Zipfel, Prof. Dr. D. Gembris and the IT-students of BA Dresden, as well as to the colleagues from Springer Nature London, also to Prof. Dr. F. Fitzek, Dr. D. Guetter (the both TU Dresden) und Dr.habil. J. Spillner (ZHAW Zurich) for technical support, inspiration and challenges by fulfilling of this work.

Author information

Authors and Affiliations

  1. BA Dresden University of Cooperative Education, Hans-Grundig-Street 25, 01307, Dresden, Germany

    Andriy Luntovskyy

Authors
  1. Andriy Luntovskyy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andriy Luntovskyy .

Editor information

Editors and Affiliations

  1. West Pomeranian University of Technology in Szczecin, Szczecin, Poland

    Jerzy Pejaś

  2. West Pomeranian University of Technology in Szczecin , Szczecin, Poland

    Imed El Fray

  3. West Pomeranian University of Technology in Szczecin, Szczecin, Poland

    Tomasz Hyla

  4. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Luntovskyy, A. (2019). SLMA and Novel Software Technologies for Industry 4.0. In: Pejaś, J., El Fray, I., Hyla, T., Kacprzyk, J. (eds) Advances in Soft and Hard Computing. ACS 2018. Advances in Intelligent Systems and Computing, vol 889. Springer, Cham. https://doi.org/10.1007/978-3-030-03314-9_16

Download citation

Publish with us

Policies and ethics

Search

Navigation