International Workshop on Future Mobile Computing and Internet of Things
The International Workshop on Architectures for Future Mobile Computing and Internet of Things (FMCIoT 2022) was held in conjunction with ICSOC 2022. The workshop focused on the broad area of Mobile and IoT architectures, including challenges and opportunities, concepts, applications, and future trends that address the challenges mentioned earlier. The workshop aimed to facilitate discussions among academics and industry practitioners to bridge Mobile Computing and IoT and make positive contributions to the field.
Two keynote talks were given at the workshop. The first, "Decoupling the smart infrastructure in buildings and smart services: the domOS approach," was given by domOS project coordinator Professor Dominique Gabioud of the University of Applied Sciences Western Switzerland. He discussed the development and prototype of a "digital connector" for buildings to be used by various energy and non-energy services. Professor Dominique Gabioud is conducting research and teaching activities in the field of Operational Technology and the Internet of Things applied to energy systems and smart grids. The so-called domOS ecosystem enables the decoupling between the infrastructure layer in buildings and the service layer, which was the focus of the talk.
The second keynote, "Internet of Medical and Artificial Intelligence of Things," was given by Dr. Anand Nayyar, who discussed the possibilities of combining the Internet of Things with Artificial Intelligence to solve medical issues.
The workshop accepted four papers out of seven, giving a 57% acceptance rate. The topics of the papers were centered on applied research that focused on platforms built on IoT devices or mobile phones. The topics ranged from efficient updates of IoT devices in an industrial setting, to how to deploy network functions to optimize energy usage.
One of the papers, "Smart Edge Service Update Scheduler: An Industrial Use Case", proposed a scheduling algorithm for software updates that clusters edge locations based on edge connections between them and assigns a weight to each location depending on the impact a software update would have on it.
Another paper, "Energy-aware placement of network functions in edge-based infrastructures with Open Source MANO and Kubernetes", addressed energy consumption by Network Virtual Functions on Edge devices, which are typically power-constrained. It achieved an overall reduced energy consumption by improving the placement of NVFs on the compute nodes.
The other two papers focused on using machine learning-based estimation of people counting within public buildings and proposing a decentralized and automated deployment strategy enabling distributed computing in distributed conditions, respectively:
“People counting in the times of Covid-19” proposes a machine learning-based estimation of the number of people within a public building with multiple entrances. Determining the occupancy of a building is a very valid problem, and such a solution is helpful in many cases, such as emergency situations, waiting for lines for restaurants, etc.
“A service-oriented middleware enabling decentralised deployment in mobile multihop networks” proposes a decentralized and automatized deployment strategy enabling distributed computing in distributed conditions (e.g. IoT/fog/edge) that relies on open-source middleware.
The workshop was a great success, and the best paper award was given to Sergio Moreschini. The workshop provided a platform for academics and industry practitioners to share their ideas and research findings on Mobile and IoT architectures, thus contributing to the development of the field.
