Skip to main content
SpringerLink
Log in

An Enhancement for the Autonomic Middleware-Level Scalability Management Within IoT System Using Cloud Computing

  • Conference paper
  • First Online:
Proceedings of the 1st International Conference on Electronic Engineering and Renewable Energy (ICEERE 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 519))

Abstract

The integration of Clouds with IoT will help dealing with the incapability to scale automatically according to the overload caused by the massive growth of the connected devices number in the IoT networks. In this paper we aim to promote the scalability management, by improving the architectural design of the monitoring components using autonomic middleware for IoT systems based on Cloud Computing hybrid oriented scalability solution, in order to satisfy a maximum number of requests, while maintaining the system performances at an acceptable level. Experiments have been done so as to evaluate our solution performances, for different scenarios testbed. Generally, our results are better than existing cloud-based solution that tackles the scalability issue in IoT networks.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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. Brock DL (2001) A Naming Scheme for Physical Objects, the Electronic Product Code (EPC) White Paper, p 1–21

    Google Scholar 

  2. International Telecommunication Union (2005) ITU Internet Report 2005: The Internet of Things, International Telecommunication Union, Geneva

    Google Scholar 

  3. Zhou J, Leppänen T, Harjula E, Ylianttila M, Ojala T, Yu C, Jin H, Yang LT (2011) CloudThings: A Common Architecture for Integrating the Internet of Things with Cloud Computing

    Google Scholar 

  4. Jain AK, Hong L, Pankanti S (2009) Internet of Things - Strategic Research Roadmap, Technical report, Cluster of European Research projects on the Internet of Things, September 2009

    Google Scholar 

  5. ETSI, TC M2M, ETSI TS 102 689 v1.1.1 (2010-08): Machine-to-Machine Communications (M2M); M2M Service Requirements, August 2010

    Google Scholar 

  6. Boswarthick D (2013) M2M communications - a systems approach. In: Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design, pp 651–657

    Google Scholar 

  7. Floeck M, Papageorgiou A, Schuelke A, Song J (2014) Horizontal M2M platforms boost vertical industry: effectiveness study for building energy management systems. In: IEEE World Forum on Internet of Things (WF-IoT), pp 15–20

    Google Scholar 

  8. Liu Y, Yuen C, Chen J, Cao X (2013) A scalable hybrid MAC protocol for massive M2M networks. In: IEEE Wireless Communications and Networking Conference (WCNC): MAC, pp 250–255

    Google Scholar 

  9. Cirani S, Davoli L, Ferrari G, Leone R, Medagliani P, Picone M, Veltri L (2014) A scalable and self-configuring architecture for service discovery in the Internet of Things. IEEE Internet Things J 1:1–13

    Article  Google Scholar 

  10. Rys M (2011) Scalable SQL. Commun ACM 54:48–53

    Article  Google Scholar 

  11. Matoba K, Abiru K, Ishihara T (2011) Service oriented network architecture for scalable M2M and sensor network services. In: 15th International Conference on Intelligence in Next Generation Networks, pp 35–40

    Google Scholar 

  12. Huang PK, Qi E, Park M, Stephens A (2013) Energy efficient and scalable device-to-device discovery protocol with fast discovery. In: IEEE International Workshop of Internet-of-Things Networking and Control (IoT-NC), pp 1–9

    Google Scholar 

  13. Pandey S, Voorsluys W, Niu S, Khandoker A, Buyya R (2012) An autonomic cloud environment for hosting ECG data analysis services. Future Gener Comput Syst 28:147–154

    Article  Google Scholar 

  14. Geoffrey CF, Kamburugamuve S, Hartman RD (2012) Architecture and measured characteristics of a cloud based Internet of Things, collaboration technologies and systems (CTS), In: 2012 International Conference, pp 6–12

    Google Scholar 

  15. McCabe L, Aggarwal S (2012) La migration vers le Cloud pour les PME. SMB Group, Inc, October 2012

    Google Scholar 

  16. Ramasahayam R, Deters R (2011) Is the cloud the answer to scalability of ecologies?. In: 5th IEEE International Conference on Digital Ecosystems and Technologies, pp 317–323

    Google Scholar 

  17. Sarkar C, Akshay UNSN, Venkatesha Prasad R, Rahim A (2014) A scalable distributed architecture towards unifying IoT applications. In: IEEE World Forum on Internet of Things (WF-IoT), pp 508–513

    Google Scholar 

  18. Bahiri MN, Zyane A, Ghammaz A, Chassot C (2017) A new monitoring solution based cloud computing for autonomic middleware-level scalability management within IoT systems. In: International Conference on Information Technology and Communication Systems, AISC, vol 640, pp 281–296

    Google Scholar 

  19. Horn P (2005) An Architectural Blueprint for Autonomic Computing, Ed. 3. IBM White Paper

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. L.E.S.T, FST-G, Cadi Ayyad University, Marrakech, Morocco

    M. N. Bahiri & A. Ghammaz

  2. S.A.R.S. Team - ENSA Safi, Cadi Ayyad University, Safi, Morocco

    M. N. Bahiri & A. Zyane

Authors
  1. M. N. Bahiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Zyane
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Ghammaz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. N. Bahiri .

Editor information

Editors and Affiliations

  1. National School of Applied Sciences, Mohamed Premier University, Oujda, Morocco

    Bekkay Hajji

  2. Electrical Engineering, Electronics and Computing, University of Catania, Catania, Italy

    Giuseppe Marco Tina

  3. National School of Applied Sciences, Mohamed Premier University, Oujda, Morocco

    Kamal Ghoumid

  4. EEA Department of the Faculty of Sciences, University of Picardie Jules Verne, Amiens, France

    Abdelhamid Rabhi

  5. Faculty of Sciences and Technology, University of Jijel, Jijel, Algeria

    Adel Mellit

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bahiri, M.N., Zyane, A., Ghammaz, A. (2019). An Enhancement for the Autonomic Middleware-Level Scalability Management Within IoT System Using Cloud Computing. In: Hajji, B., Tina, G.M., Ghoumid, K., Rabhi, A., Mellit, A. (eds) Proceedings of the 1st International Conference on Electronic Engineering and Renewable Energy. ICEERE 2018. Lecture Notes in Electrical Engineering, vol 519. Springer, Singapore. https://doi.org/10.1007/978-981-13-1405-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1405-6_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1404-9

  • Online ISBN: 978-981-13-1405-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation