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Edge computing extends cloud computing by providing a subset of computational resources that are close to the application site, lowering the need for bandwidth and augmenting responsiveness. This allows implementing cloud benefits in critical applications bound to a physical location, provided that a correct distribution between edge and cloud is applied. To achieve this purpose, a performance evaluation of the architecture is needed. In this paper we present a queuing networks based modeling approach for complex critical edge computing based systems, applied to a support system for accident management teams.

Our research aims at helping children with intellectual disability (ID) to "learn through play" by interacting with digitally enriched physical toys. Inspired by the practice of Dolphin Therapy (a special form of Pet Therapy) and, specifically, by the activities that ID children perform at Dolphinariums, we have developed a "smart" stuffed dolphin called SAM that engages children in a variety of play tasks. SAM emits different stimuli (sound, vibration, and light) with its body in response to children's manipulation. Its behavior is integrated with lights and multimedia animations or video displayed in the ambient and can be customized by therapists to address the specific needs of each child.