Skip to main content
SpringerLink
Log in

Agent-Based Control of Service Scheduling Within the Fog Environment

  • Conference paper
  • First Online:
Agents and Multi-Agent Systems: Technologies and Applications 2020

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 186))

  • 504 Accesses

Abstract

Modern IoT application scenarios require lower processing latency than what the cloud architecture alone can offer, and the addition of the fog computing layer could upgrade the existing architecture to conform to this requirement. Existing platforms that could be employed to enable distributed processing in fog-to-cloud environment, that includes the resources on the network’s edge, in most cases utilize the agent-based approaches. However, although they do offer a certain level of service management, they still do not provide a procedure to configure latency-dependent service rescheduling. Thus, within this paper, we present our basic agent-based model that enables latency-sensitive service management in the distributed IoT environment.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dolui, K., Datta, S.K.: Comparison of edge computing implementations: fog computing, cloudlet and mobile edge computing. In: 2017 Global Internet of Things Summit (GIoTS), pp. 1–6. IEEE, Geneva, Switzerland (June 2017)

    Google Scholar 

  2. Yi, S., Li, C., Li, Q.: A survey of fog computing: concepts, applications and issues. In: Proceedings of the 2015 Workshop on Mobile Big Data, pp. 37–42. Association for Computing Machinery, Hangzhou, China (2015)

    Google Scholar 

  3. Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, pp. 13–16. Association for Computing Machinery, Helsinki, Finland (2012)

    Google Scholar 

  4. Osanaiye, O., Chen, S., Yan, Z., Lu, R., Choo, K.R., Dlodlo, M.: From cloud to fog computing: a review and a conceptual live VM migration framework. IEEE Access 5, 8284–8300 (2017)

    Article  Google Scholar 

  5. Li, J., Zhang, T., Jin, J., Yang, Y., Yuan, D., Gao, L.: Latency estimation for fog-based internet of things. In: 2017 27th International Telecommunication Networks and Applications Conference (ITNAC), pp. 1–6. IEEE, Melbourne, Australia (November 2017)

    Google Scholar 

  6. OpenFog Consortium: IEEE standard for adoption of OpenFog reference architecture for fog computing. IEEE Stand. 1934–2018, 1–176 (2018)

    Google Scholar 

  7. Yousefpour, A., Ishigaki, G., Jue, J.P.: Fog computing: towards minimizing delay in the internet of things. In: 2017 IEEE International Conference on Edge Computing (EDGE), pp. 17–24. IEEE, Honolulu, USA (June 2017)

    Google Scholar 

  8. Filip, I., Pop, F., Serbanescu, C., Choi, C.: Microservices scheduling model over heterogeneous cloud-edge environments as support for IoT applications. IEEE Internet Things J. 5(4), 2672–2681 (2018)

    Article  Google Scholar 

  9. Zeng, D., Gu, L., Guo, S., Cheng, Z., Yu, S.: Joint optimization of task scheduling and image placement in fog computing supported software-defined embedded system. IEEE Trans. Comput. 65(12), 3702–3712 (2016)

    Article  MathSciNet  Google Scholar 

  10. Yousefpour, A., Patil, A., Ishigaki, G., Kim, I., Wang, X., Cankaya, H.C., Zhang, Q., Xie, W., Jue, J.P.: FOGPLAN: a lightweight QoS-aware dynamic fog service provisioning framework. IEEE Internet Things J. 6(3), 5080–5096 (2019)

    Article  Google Scholar 

  11. Bonomi, F., Milito, R., Natarajan, P., Zhu, J.: Fog computing: a platform for internet of things and analytics. In: Big Data and Internet of Things: A Roadmap for Smart Environments, vol. 546, pp. 169–186. Springer, Cham (2014)

    Chapter  Google Scholar 

  12. Moreno-Vozmediano, R., Montero, R.S., Huedo, E., Llorente, I.M.: Cross-site virtual network in cloud and fog computing. IEEE Cloud Comput. 4(2), 46–53 (2017)

    Article  Google Scholar 

  13. Giordano, A., Spezzano, G., Vinci, A.: Smart agents and fog computing for smart city applications. In: Smart Cities, pp. 137–146. Springer, Cham (2016)

    Chapter  Google Scholar 

  14. Wan, J., Chen, B., Wang, S., Xia, M., Li, D., Liu, C.: Fog computing for energy-aware load balancing and scheduling in smart factory. IEEE Trans. Ind. Inform. 14(10), 4548–4556 (2018)

    Article  Google Scholar 

  15. Krivic, P., Skocir, P., Kusek, M., Jezic, G.: Microservices as agents in IoT systems. In: KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, pp. 22–31. Springer, Cham (June 2017)

    Google Scholar 

  16. Kubernetes Homepage. https://kubernetes.io/. Accessed 31 Jan 2020

  17. ioFog Homepage. https://iofog.org/. Accessed 31 Jan 2020

  18. IMUNES Homepage. http://imunes.net/about. Accessed 23 Jan 2020

  19. Spring Homepage. https://spring.io/projects/spring-boot. Accessed 3 Feb 2020

Download references

Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000, Zagreb, Croatia

    Petar Krivic, Jakov Zivkovic & Mario Kusek

Authors
  1. Petar Krivic
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jakov Zivkovic
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mario Kusek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Petar Krivic .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    G. Jezic

  2. School of Mathematical and Computer Sciences, The Heriot-Watt University, Scotland, UK

    J. Chen-Burger

  3. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    M. Kusek

  4. Department of Business Economics and Management, Silesian University in Opava, Opava, Czech Republic

    R. Sperka

  5. Bournemouth University and KES International Research, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Krivic, P., Zivkovic, J., Kusek, M. (2020). Agent-Based Control of Service Scheduling Within the Fog Environment. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2020. Smart Innovation, Systems and Technologies, vol 186. Springer, Singapore. https://doi.org/10.1007/978-981-15-5764-4_8

Download citation

Publish with us

Policies and ethics

Search

Navigation