Supervision : Giovanni PAU

Co-supervision : GIUSTO Danièle

Exploring Computing Continuum in IoT Systems: Sensing, Communicating and Processing at the Network Edge

As Internet of Things (IoT), originally comprising of only a few simple sensing devices, reaches 34 billion units by the end of 2020, they cannot be defined as merely monitoring sensors anymore.
IoT capabilities have been improved in recent years as relatively large internal computation and storage capacity are becoming a commodity.
New IoT architectures are able to perform complex tasks directly on-device, thus enabling the concept of an extended computational continuum.
Real-time critical scenarios e.g. autonomous vehicles sensing, area surveying or disaster rescue and recovery require all the actors involved to be coordinated and collaborate without human interaction to a common goal, sharing data and resources, even in intermittent networks covered areas.
This poses new problems in distributed systems, resource management, device orchestration,as well as data processing.
This work proposes a new orchestration and communication framework, namely CContinuum, designed to manage resources in heterogeneous IoT architectures across multiple application scenarios. This work focuses on two key sustainability macroscenarios: (a) environmental sensing and awareness, and (b) electric mobility support.

2021 Publications

• 2021
  • D. Aguiari : “Exploring Computing Continuum in IoT Systems: Sensing, Communicating and Processing at the Network Edge”, thesis, phd defence 02/25/2021, supervision Pau, Giovanni, co-supervision : Giusto, Danièle (2021)
  • F. Yang, A. Ferlini, D. Aguiari, D. Pesavento, R. Tse, S. Banerjee, G. Xie, G. Pau : “Revisiting WiFi offloading in the wild for V2I applications”, Computer Networks, vol. 202, pp. 108634, (Elsevier) (2021)