Skip to main content
SpringerLink
Log in

Analytical Model for Availability Assessment of IoT Service Data Transmission Subsystem

  • Conference paper
  • First Online:
Advances in Intelligent Systems and Computing II (CSIT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 689))

Included in the following conference series:

  • 952 Accesses

Abstract

This paper discusses the role of safety, availability, and dependability of Internet of Things (IoT) data services dedicated to the monitoring and control of objects in a physical world. These services are designed to be available to devices and users on request at any time and at any location. The Internet of Things differs from today’s global Internet in a number of ways. For instance, the networks are typically unmanaged, most of IoT services are safety critical, the link layers are optimized for low power usage, and most nodes have to be implementable in a lightweight manner.

The design of IoT data services should take into account that this type of system has huge scalability (hundreds, thousands of clients). On the one hand this leads to significant financial costs for maintenance the IoT infrastructure, on the other hand, is necessary to provide the appropriated availability and safety level. In addition, today most of IoT services are operated in a critical system such as oil and gas industry, smart cities, medicine, the financial sector. According to this point an actual question of availability and safety estimations IoT services appears, because the fault of IoT system part can lead to huge financial losses or to observed objects death.

In this paper, the model of IoT services as queue network is proposed that allows estimating the availability and safety of these 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 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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Atzori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54, 2787–2805 (2010)

    Article  Google Scholar 

  2. Ma, H.-D.: Internet of things: objectives and scientific challenge. J. Comput. Sci. Technol. 26, 919–924 (2011)

    Article  Google Scholar 

  3. Miorandi, D., Sicari, S., Pellegrini, F.D., Chlamtac, I.: Internet of things: vision applications and research challenges. Ad Hoc Netw. 10, 1497–1516 (2012)

    Article  Google Scholar 

  4. Roman, R., Alcaraz, C., Lopez, J., Sklavos, N.: Key management systems for sensor networks in the context of the Internet of Things. Comput. Electr. Eng. 37, 147–159 (2011)

    Article  Google Scholar 

  5. Silva, M.D., Leandro, R., Batista, D.M., Guedes, L.A.: A dependability evaluation tool for the Internet of Things. Comput. Electr. Eng. 39, 2005–2018 (2013)

    Article  Google Scholar 

  6. Zin, T.T., Tin, P., Hama, H.: Reliability and availability measures for Internet of Things consumer world perspectives. In: 5th IEEE Global Conference on Consumer Electronics, pp. 1–2 (2016)

    Google Scholar 

  7. Ashton, K.: That ‘Internet of Things’ thing. RFID J., 1–2 (2009)

    Google Scholar 

  8. Sundmaeker, H., Guillemin, P., Friess, P., Woelfflé, S.: Vision and challenges for realising the Internet of Things. In: Cluster of European Research Projects on the Internet of Things—CERP IoT (2010)

    Google Scholar 

  9. Xia, F., Yang, L.T., Wang, L., Vinel, A.: Internet of Things. Int. J. Commun Syst 25, 1101–1102 (2012)

    Article  Google Scholar 

  10. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29, 1645–1660 (2013)

    Article  Google Scholar 

  11. Uckelmann, D., Harrison, M., Michahelles, F.: An architectural approach towards the future Internet of Things. In: Uckelmann, D., Harrison, M., Michahelles, F. (eds.) Architecting the Internet of Things, pp. 1–24. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  12. Azure IoT Suite helps Sandvik Coromant stay on cutting edge within “digital manufacturing”. https://blogs.microsoft.com/iot/2016/09/12/azure-iot-suite-helps-sandvik-coromant-stay-on-cutting-edge-within-digital-manufacturing/#08ckShkjVuPGPOBP.99

  13. Rolls-Royce and Microsoft collaborate to create new digital capabilities. https://customers.microsoft.com/en-US/story/rollsroycestory

  14. Fueling the oil and gas industry with IoT. https://customers.microsoft.com/en-US/story/fueling-the-oil-and-gas-industry-with-iot-1

  15. How manufacturers are creating the digital, intelligent and predictive factory. https://blogs.microsoft.com/transform/2016/04/24/how-manufacturers-are-creating-the-digital-intelligent-and-predictive-factory/#sm.0000ns1xd9hpqcolwy71tyhiubvkz

  16. Connecting Buildings to the Cloud for a Greener Planet. https://customers.microsoft.com/en-US/story/connecting-buildings-to-the-cloud-for-a-greener-planet

  17. BCA partners Microsoft to leverage IoT, data analytics and the cloud for next-generation Green Mark buildings. https://news.microsoft.com/en-sg/2016/09/07/bca-partners-microsoft-to-leverage-iot-data-analytics-and-the-cloud-for-next-generation-green-mark-buildings/#jwEJJSbDCDrtL6fK.99

  18. Ecolab uses cloud computing to save fresh water on the ground. https://blogs.microsoft.com/iot/2016/04/05/ecolab-uses-cloud-computing-to-save-freshwater-on-the-ground/#XMQgmhjSRmdtDQ7B.99

  19. Fathym’s IoT-enabled Weather Cloud enhances driver safety during inclement weather. https://blogs.microsoft.com/iot/2016/12/09/fathyms-iot-enabled-weathercloud-enhances-driver-safety-during-inclement-weather/#wpbM9QQvdxROoDx8.99

  20. Azure IoT Technology helps NAV CANADA revolutionize air-traffic control. https://blogs.microsoft.com/iot/2016/03/17/azure-iot-technology-helps-nav-canada-revolutionize-air-traffic-control/#JvuzE3WFYvjuqU6h.99

  21. Italian grocery co-op develops supermarket of the future. https://blogs.microsoft.com/iot/2016/04/08/italian-grocery-co-op-develops-supermarket-of-the-future/#4vi5fAJ5xT87wAjZ.99/

  22. Immersive, interactive, intelligent: New retail experiences on display at NRF. https://blogs.microsoft.com/iot/2016/01/19/immersive-interactive-intelligent-new-retail-experiences-on-display-at-nrf/

  23. Hershey enhances global brands and productivity with cloud technology. https://customers.microsoft.com/en-US/story/hershey-office365

  24. IoT-enabled Smart Fridge helps manage vaccines and saves lives. https://blogs.microsoft.com/iot/2016/08/16/iot-enabled-smart-fridge-helps-manage-vaccines-and-saves-lives/

  25. Advancing hospital hand hygiene practices through IoT solutions. https://www.microsoft.com/en-us/internet-of-things/customer-stories#healthcare&gojoindustries

  26. Liebherr Domestic Appliances collaborates with Microsoft to build new smart fridge for medicine. https://blogs.microsoft.com/transform/2016/04/24/liebherr-domestic-appliances-collaborates-with-microsoft-to-build-new-smart-fridge-for-medicine/#sm.0000ns1xd9hpqcolwy71tyhiubvkz

  27. Krishnan, V., Braswar, S.: M2M Technology: Challenges and Opportunities. Tech Mahindra (2010)

    Google Scholar 

  28. Pham, H.: System Software Reliability. Springer Series in Reliability Engineering. Springer, London (2006)

    Book  Google Scholar 

  29. Trivedi, K.S., Bobbio, A., Muppala, J.K.: Greenbook: Reliability and Availability Engineering: Modeling, Analysis, and Applications. Cambridge University. (2017, in Press)

    Google Scholar 

  30. Maevsky, D.A.: A new approach to software reliability. In: Gorbenko, A., Romanovsky, A., Kharchenko, V. (eds.) SERENE 2013. LNCS, vol. 8166, pp. 156–168. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  31. Chabanyuk, Y.M., Yakovyna, V.S., Fedasyuk, D.V., Seniv, M.M., Khimka, U.T.: Development and study the software reliability model with project size index. Software Eng., 24–29 (2010). (in Ukrainian)

    Google Scholar 

  32. Musa, J.D.: A theory of software reliability and its application. IEEE Trans. Software Eng. SE-1(3), 312–327 (1975)

    Article  Google Scholar 

  33. Goel, A.L., Okumoto, K.: Time-dependent error-detection rate model for software and other performance measures. IEEE Trans. Reliab. R-28, 206–211 (1979)

    Article  Google Scholar 

  34. Yamada, S., Ohba, M., Osaki, S.: S-shaped reliability growth modeling for software error detection. IEEE Trans. Reliab. R-32, 475–478 (1983)

    Article  Google Scholar 

  35. Goel, A.L.: Software reliability models: assumptions, limitations, and applicability. IEEE Trans. Software Eng. SE-11, 1411–1423 (1985)

    Article  Google Scholar 

  36. Mulyak, A., Yakovyna, V., Volochiy, B.: Influence of software reliability models on reliability measures of software and hardware systems. Eastern Eur. J. Enterp. Technol. 4, 53–57 (2015)

    Google Scholar 

  37. Bobalo, Yu., Volochiy, B., Lozynskyi, O., Mandziy, B., Ozirkovskii, L., Fedasyuk, D., Shcherbovskyh, S., Yakovyna, V.: Mathematical Models and Methods for Reliability Analysis of Electrical, Electronics and Software Systems. Lviv Polytechnic Publishing House, Lviv (2013). (in Ukrainian)

    Google Scholar 

  38. Yakovyna, V., Nytrebych, O.: Discrete and continuous time high-order Markov models for software reliability assessment. In 11th International Conference ICTERI 2015, Lviv, Ukraine, 14–16 May 2015. CEUR-WS.org, CEUR-WS.org/Vol-1356/paper_62.pdf

  39. Volochiy, B.: Technology of Modelling of Algorithms of Behavior of Information Systems. Lviv Polytechnic Publishing House, Lviv (2004). (in Ukrainian)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lviv Polytechnic National University, Lviv, Ukraine

    Bogdan Volochiy, Vitaliy Yakovyna & Oleksandr Mulyak

Authors
  1. Bogdan Volochiy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vitaliy Yakovyna
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Oleksandr Mulyak
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Bogdan Volochiy , Vitaliy Yakovyna or Oleksandr Mulyak .

Editor information

Editors and Affiliations

  1. Lviv Polytechnic National University, Lviv, Ukraine

    Natalia Shakhovska

  2. IRTC ITS NASU, Kiev, Ukraine

    Volodymyr Stepashko

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Volochiy, B., Yakovyna, V., Mulyak, O. (2018). Analytical Model for Availability Assessment of IoT Service Data Transmission Subsystem. In: Shakhovska, N., Stepashko, V. (eds) Advances in Intelligent Systems and Computing II. CSIT 2017. Advances in Intelligent Systems and Computing, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-70581-1_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70581-1_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70580-4

  • Online ISBN: 978-3-319-70581-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation