Event-Driven Bandwidth Allocation with Formal Guarantees for Camera Networks

Gautham Nayak Seetanadi, Javier Camara Moreno, Luis Almeida, Karl Erik Arzen, Martina Maggio

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Modern computing systems are often formed by multiple components that interact with each other through the use of shared resources (e.g., CPU, network bandwidth, storage). In this paper, we consider a representative scenario of one such system in the context of an Internet of Things application. The system consists of a network of self-adaptive cameras that share a communication channel, transmitting streams of frames to a central node. The cameras can modify a quality parameter to adapt the amount of information encoded and to affect their bandwidth requirements and usage. A critical design choice for such a system is scheduling channel access, i.e., how to determine the amount of channel capacity that should be used by each of the cameras at any point in time. Two main issues have to be considered for the choice of a bandwidth allocation scheme: (i) camera adaptation and network access scheduling may interfere with one another, (ii) bandwidth distribution should be triggered only when necessary, to limit additional overhead. This paper proposes the first formally verified event-triggered adaptation scheme for bandwidth allocation, designed to minimize additional overhead in the network. Desired properties of the system are verified using model checking. The paper also describes experimental results obtained with an implementation of the scheme.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Real-Time Systems Symposium, RTSS 2017
Number of pages12
ISBN (Electronic)9781538614143
Publication statusPublished - 31 Jan 2018
Event38th IEEE Real-Time Systems Symposium, RTSS 2017 - Paris, France
Duration: 5 Oct 20178 Oct 2017

Publication series

NameIEEE Real-Time Systems Symposium (RTSS)
ISSN (Electronic)2576-3172


Conference38th IEEE Real-Time Systems Symposium, RTSS 2017


  • Bandwidth-distribution
  • Model-checking
  • Real-Time-Systems

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