Skip to main content
SpringerLink
Log in

A Comparison of QoS-Based Architecture Solutions for IoT/Edge Computing Environment

  • Conference paper
  • First Online:
Emerging Trends in ICT for Sustainable Development

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

Abstract

Edge computing is a beneficial concept for supporting sensitive IoT applications that now permeate our daily lives. It makes the possibility to migrate the calculation and/or the storage of data towards the “periphery” of the network, close to the end users. However, the onboard calculation method is advantageous for real-time IoT applications that have QoS requirements, for example, the difficulties of high latency and network congestion in IoT infrastructures. To provide efficient and reliable services to end users, it is important to refer to QoS criteria, which implies an effective management of the quality of service in IoT/Edge computing systems. In this paper, we propose an analysis of QoS solutions and architectures for effective quality of service management in the IoT/Edge computing environment. We analyze and propose a classification of QoS mechanisms in relation to the different layers of the IoT architecture. We analyze and propose a classification. This study opens up new research perspectives concerning QoS dynamic management for real-time applications in IoT/Edge computing systems.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

Similar content being viewed by others

References

  • Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutor. 17, 4, 2347–2376 (2015)

    Google Scholar 

  • Beck, T., Werner, M., Feld, S., Schimper, S.: Mobile edge computing: a taxonomy. In: Proc. Intl. Conf. on Advances in Future Internet. Citeseer (2014)

    Google Scholar 

  • 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. ACM (2012)

    Google Scholar 

  • Bonomi, F., Milito, R.A., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things.In: Proc. Workshop on Mobile Cloud Computing, pp. 13–16 (2012)

    Google Scholar 

  • Daniel Macedo, Luiz A onso Guedes, and Ivanovitch Silva. 2014. A dependability evaluation for Internet of Things incorporating redundancy aspects. In Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control. IEEE, 417–422.

    Google Scholar 

  • Deng, G.C., Wang, K.: An application-aware QoS routing algorithm for SDN-based IoT networking. In: 2018 IEEE Symposium on Computers and Communications (ISCC) (2018)

    Google Scholar 

  • Duan, R., Chen, X. and Xing, T.: A QoS architecture for IOT. In: 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, pp. 717–720. IEEE (2011)

    Google Scholar 

  • Elsaleh, T., Gluhak, A., Moessner, K.: Service continuity for subscribers of the mobile real world Internet. In: 2011 IEEE International Conference on Communications Workshops (ICC), pp. 1–5. IEEE (2011)

    Google Scholar 

  • Ganz, F., Li, R., Barnaghi, P., Harai, H.: A resource mobility scheme for service-continuity in the Internet of Things. In: 2012 IEEE International Conference on Green Computing and Communications, pp. 261–264. IEEE (2012)

    Google Scholar 

  • Kempf, J., Arkko, J., Beheshti, N., Yedavalli, K.: Thoughts on reliability in the internet of things. In: Interconnecting Smart Objects with the Internet Workshop, vol. 1, pp. 1–4 (2011)

    Google Scholar 

  • Kumar, K., Liu, J., Lu, Y., Bhargava, B.K.: A survey of computation o oading for mobile sys-tems. Mobile Netw. Appl. 18(1), 129–140 (2013)

    Article  Google Scholar 

  • Kumar, K., Lu, Y.: Cloud computing for mobile users: can o oading computation save energy? IEEE Comput. 43(4), 51–56 (2010)

    Article  Google Scholar 

  • Li, L., Rong, M., Zhang, G.: An Internet of things QoS estimate approach based on multidimension QoS. In: 2014 9th International Conference on Computer Science Education, pp. 998–1002. IEEE (2014)

    Google Scholar 

  • Li, L., Jin, Z., Li, G., Zheng, L., Wei, Q.: Modeling and analyzing the reliability and cost of service composition in the IoT: a probabilistic approach. In: 2012 IEEE 19th International Conference on Web Services, pp. 584–591. IEEE (2012)

    Google Scholar 

  • Maalel, N., Natalizio, E., Bouabdallah, A., Roux, P., Kellil, M.: Reliability for emergency applications in internet of things. In: 2013 IEEE International Conference on Distributed Computing in Sensor Systems. IEEE, 361–366 (2013)

    Google Scholar 

  • Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., Marrs, A.: Disruptive Technologies: Advances that Will Transform Life, Business, and the Global Economy, vol. 180. McKinsey Global Institute San Francisco, CA (2013)

    Google Scholar 

  • Naik, N., Jenkins, P., Davies, P., Newell, D.: Native web communication pro-tocols and their e ects on the performance of web services and systems. In: 2016 IEEE International Conference on Computer and Information Technology (CIT), pp. 219–225. IEEE (2016)

    Google Scholar 

  • Peros, S., Janjua, H., Akkermans, S., Joosen, W., Hughes, D.: Dynamic QoS support for IoT backhaul networks through SDN. 978-1-5386-5896-3/18/2018 IEEE

    Google Scholar 

  • Radovanović, S., Nemet, N., Ćetković, M., Bjelica, M. Z., Teslić, N.: Cloud-based framework for QoS monitoring and provisioning in consumer devices. In: 2013 IEEE Third International Conference on Consumer Electronics> Berlin (ICCE-Berlin), pp. 1–3. IEEE (2013)

    Google Scholar 

  • Rajan, M.A., Balamuralidhar, P., Chethan, K.P., Swarnahpriyaah, M.: A self-recon gurable sensor network management system for internet of things paradigm. In: 2011 International Confer-ence on Devices and Communications (ICDe-Com), pp. 1–5. IEEE (2011)

    Google Scholar 

  • Rausch, T., Nastic, S., Dustdar, S.: Emma: Distributed QoS-aware mqtt middleware for edge computing applications. In: 2018 IEEE International Conference on Cloud Engineering (IC2E), pp. 191–197. IEEE (2018)

    Google Scholar 

  • Saleh, I.: Les enjeux et les de s de l'Internet des Objets (IdO). Int. Des Objets 1, 1 (2017)

    Google Scholar 

  • Satyanarayanan, M., Bahl, P., Caceres, R., Davies, N.: The case for vm-based cloudlets in mobile computing. IEEE Pervasive Comput. 8(4), 14–23 (2009)

    Article  Google Scholar 

  • Satyanarayanan, M., Bahl, P., Caceres, R., Davies, N.: The case for vm-based cloudlets in mobile computting. Pervasive Comput. IEEE 8(4), 14–23 (2009)

    Google Scholar 

  • Sharghivand, N., Derakhshan, F., Mashayekhy, L.: QoS-aware matching of edge computing services to internet of things. In: 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC), pp. 1–8. IEEE (2018)

    Google Scholar 

  • Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Wayne State University Edge computing: vision and challenges, 2327–4662 (c) 2016 IEEE. Personal use is permitted, but repub-lication/redistribution requires IEEE permission. See https://www.ieee.org/publications-standards/publications/rights/index.html for more information

  • Singh, M., Baranwal, G.: Quality of service (QoS) in internet of things. In 2018 3rd International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), pp. 1–6. IEEE (2018)

    Google Scholar 

  • Song, Y., Yau, S. S., Yu, R., Zhang, X., Xue, G.: An approach to QoS-based task dis-tribution in edge computing networks for IoT applications. In: 2017 IEEE International Conference on Edge Computing (EDGE), pp. 32–39. IEEE (2017)

    Google Scholar 

  • Varghese, B., Wang, N., Barbhuiya, S., Kilpatrick, P., Nikolopoulos, D.S.: Challenges and opportunities in edge computing. In: Proceedings of the IEEE International Conference on Smart Cloud (IEEESmart-Cloud). IEEE (2016). https://doi.org/10.1109/SmartCloud.2016.18

  • Yang, Z., Yue, Y., Yang, Y., Peng, Y., Wang, X., Liu, W.: Study and application on the architecture and key technologies for IOT. In: 2011 International Conference on Multimedia Technology, pp. 747–751. IEEE (2011)

    Google Scholar 

  • Yin, Y., Chen, L., Xu, Y., Wan, J., Zhang, H., Mai, Z.: QoS Prediction for service recommendation with deep featureLearning in edge computing environment. Springer Science+Business Media, LLC, part of Springer Nature (2019)

    Google Scholar 

  • Yu, W., Liang, F., He, X., Hatcher, W.G., Lu, C., Lin, J. and Yang, X.: A survey on the edge computing for the internet of things, 2169–3536 (c) 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications-standards/publications/rights/index.html for more information

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

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratoire Informatique de Dakar (LID), Cheikh Anta Diop University, Dakar, Senegal

    Nogaye Lo & Ibrahima Niang

Authors
  1. Nogaye Lo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ibrahima Niang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nogaye Lo .

Editor information

Editors and Affiliations

  1. Computer Engineering Department, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Systèmes d’Information Organisationnels, Université Laval, Québec, QC, Canada

    Sehl Mellouli

  3. Civil Engineering Department, School of Engineering, University of Minho, Minho, Portugal

    Luis Braganca

  4. Computer Engineering, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Boudhir Anouar Abdelhakim

  5. Department of Computer Application, School of Computer Information and Mathematics, Abdur Rahman Crescent Institute of Science & Technology, Chennai, India

    Kwintiana Ane Bernadetta

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lo, N., Niang, I. (2021). A Comparison of QoS-Based Architecture Solutions for IoT/Edge Computing Environment. In: Ben Ahmed, M., Mellouli, S., Braganca, L., Anouar Abdelhakim, B., Bernadetta, K.A. (eds) Emerging Trends in ICT for Sustainable Development. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-53440-0_37

Download citation

Publish with us

Policies and ethics

Search

Navigation