Diameter of Things (DoT): A Protocol for Real-Time Telemetry of IoT Applications

  • Soheil QanbariEmail author
  • Samira Mahdizadeh
  • Rabee Rahimzadeh
  • Negar Behinaein
  • Schahram Dustdar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9512)


The Diameter of Things (DoT) protocol is intended to provide a near real-time metering framework for IoT applications in resource-constraint gateways. Respecting resource capacity constraints on edge devices establishes a firm requirement for a lightweight protocol in support of fine-grained telemetry of IoT deployment units. Such metering capability is needed when lack of resources among competing applications dictates our schedule and credit allocation. In response to these findings, the authors offer the DoT protocol that can be incorporated to implement real-time metering of IoT services for prepaid subscribers as well as Pay-per-use economic models. The DoT employs mechanisms to handle the IoT composite application resource usage units consumed/charged against a single user balance. Such charging methods come in two models of time-based and event-based patterns. The former is used for scenarios where the charged units are continuously consumed while the latter is typically used when units are implicit invocation events. The DoT-enabled platform performs a chained metering transaction on a graph of dependent IoT microservices, collects the emitted usage data, then generates billable artifacts from the chain of metering tokens. Finally it permits micropayments to take place in parallel.


Diameter protocol Service metering Internet of things 



The research leading to these results is sponsored by the Doctoral College of Adaptive Distributed Systems (ADSys) ( at the Vienna University of Technology.


  1. 1.
    Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25(6), 599–616 (2009)CrossRefGoogle Scholar
  2. 2.
    Calhoun, P., Johansson, T., Perkins, C., Hiller, T., Mccann, P.: Diameter mobile IPv4 application. In: IETF, RFC 4004, August 2005Google Scholar
  3. 3.
    Hakala, H., Mattila, L., Koskinen, J.-P., Stura, M., Loughney, J.: Diameter credit-control application. In: IETF, RFC 4006, August 2005Google Scholar
  4. 4.
    Garcia-Martin, M.: Diameter session initiation protocol (SIP) application. In: IETF, RFC 4740, April 2006Google Scholar
  5. 5.
    Rigney, C., Rubens, A., Simpson, W., Willens, S.: Remote authentication dial in user service (RADIUS). In: IETF, RFC 2138, June 2000Google Scholar
  6. 6.
    Calhoun, P., Loughney, J., Guttman, E., Zorn, G., Arkko, J.: Diameter base protocol. In: IETF, RFC 3588, September 2003Google Scholar
  7. 7.
    Rivest, R.L., Shamir, A.: PayWord and MicroMint: two simple micropayment schemes. In: Lomas, M. (ed.) Proceedings of the International Workshop on Security Protocols, pp. 69–87. Springer, London (1997)CrossRefGoogle Scholar
  8. 8.
    Elmroth, E., Marquez, F.G., Henriksson, D., Ferrera, D.P.: Accounting and billing for federated cloud infrastructures. In: Proceedings of the 2009 Eighth International Conference on Grid and Cooperative Computing, GCC 2009, Washington, DC, USA, pp. 268–275. IEEE Computer Society (2009)Google Scholar
  9. 9.
    Rochwerger, B., Breitgand, D., Levy, E., Galis, A., Nagin, K., Llorente, I.M., Montero, R., Wolfsthal, Y., Elmroth, E., Cáceres, J., Ben-Yehuda, M., Emmerich, W., Galán, F.: The reservoir model and architecture for open federated cloud computing. IBM J. Res. Dev. 53(4), 535–545 (2009)CrossRefGoogle Scholar
  10. 10.
    Narayan, A., Rao, S., Ranjan, G., Dheenadayalan, K.: Smart metering of cloud services. In: 2012 IEEE International Systems Conference (SysCon), pp. 1–7, March 2012Google Scholar
  11. 11.
    Petersson, J.: Cloud metering and billing. Accessed 08 Aug 2011
  12. 12.
    Naik, V.K., Beaty, K., Kundu, A.: Service usage metering in hybrid cloud environments. In: 2014 IEEE International Conference on Cloud Engineering (IC2E), pp. 253–260, March 2014Google Scholar
  13. 13.
    Aazam, M., Huh, E.-N.: Fog computing micro datacenter based dynamic resource estimation and pricing model for IoT. In: 2015 IEEE 29th International Conference on Advanced Information Networking and Applications (AINA), pp. 687–694, March 2015Google Scholar
  14. 14.
    Mazhelis, O., Waldburger, M., Machado, G.S., Stiller, B., Tyrväinen, P.: Retrieving monitoring and accounting information from constrained devices in internet-of-things applications. In: Doyen, G., Waldburger, M., Čeleda, P., Sperotto, A., Stiller, B. (eds.) AIMS 2013. LNCS, vol. 7943, pp. 136–147. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  15. 15.
    Stiller, B.: Accounting and monitoring of AAI services. Switch J. 2010(2), 12–13 (2010). IETFGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Soheil Qanbari
    • 1
    Email author
  • Samira Mahdizadeh
    • 1
  • Rabee Rahimzadeh
    • 2
  • Negar Behinaein
    • 2
  • Schahram Dustdar
    • 1
  1. 1.Vienna University of TechnologyViennaAustria
  2. 2.Baha’i Institute for Higher Education (BIHE)TehranIran

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