%0 Conference Proceedings
%T Retrieving Monitoring and Accounting Information from Constrained Devices in Internet-of-Things Applications
%+ University of Jyväskylä (JYU)
%+ Universität Zürich [Zürich] = University of Zurich (UZH)
%A Mazhelis, Oleksiy
%A Waldburger, Martin
%A Machado, Guilherme, Sperb
%A Stiller, Burkhard
%A Tyrväinen, Pasi
%Z Part 6: Monitoring Mechanisms
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 7th International Conference on Autonomous Infrastructure (AIMS)
%C Barcelona, Spain
%Y Guillaume Doyen
%Y Martin Waldburger
%Y Pavel Čeleda
%Y Anna Sperotto
%Y Burkhard Stiller
%I Springer
%3 Emerging Management Mechanisms for the Future Internet
%V LNCS-7943
%P 136-147
%8 2013-06-25
%D 2013
%R 10.1007/978-3-642-38998-6_17
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Internet-of-Things (IoT) is envisioned to provide connectivity to a vast number of sensing or actuating devices with limited computational and communication capabilities. For the organizations that manage these constrained devices, the monitoring of each device’s operational status and performance level as well as the accounting of their resource usage are of great importance. However, monitoring and accounting support is lacking in today’s IoT platforms. Hence, this paper studies the applicability of the Constrained Application Protocol (CoAP), a lightweight transfer protocol under development by IETF, for efficiently retrieving monitoring and accounting data from constrained devices. On the infrastructure side, the developed prototype relies on using standard building blocks offered by the AMAAIS project in order to collect, pre-process, distribute, and persistently store monitoring and accounting information. Necessary on-device and infrastructure components are prototypically implemented and empirically evaluated in a realistic simulation environment. Experiment results indicate that CoAP is suited for efficiently transferring monitoring and accounting data, both due to a small energy footprint and a memory-wise compact implementation.
%G English
%Z TC 6
%Z WG 6.6
%2 https://inria.hal.science/hal-01489963/document
%2 https://inria.hal.science/hal-01489963/file/978-3-642-38998-6_17_Chapter.pdf
%L hal-01489963
%U https://inria.hal.science/hal-01489963
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-AIMS
%~ IFIP-WG6-6
%~ IFIP-LNCS-7943