When service-oriented and cloud computing meets the IoT: A use case in the context of urban mobile crowd-sensing |
Given the prevalence of global networking and computing infrastructures (such as the Internet and the Cloud), mobile networking environments, powerful hand-held user devices, and physical world sensing and actuation devices, the possibilities of new mobile distributed systems have reached unprecedented levels. Such systems are dynamically composed of networked resources in the environment, which may span from the immediate neighborhood of the users – as advocated by pervasive computing – up to the entire globe – as envisioned by the Future Internet and one of its major constituents, the Internet of Things. Within the MIMOVE team at Inria, we more specifically study urban participatory mobile distributed systems where people get involved in producing new knowledge about the urban environment. Service-oriented and cloud computing are evident baseline technologies for the target mobile distributed systems: service orientation provides the abstraction to deal with the assembly of the relevant heterogeneous component systems, while the cloud provides the infrastructure to deal with the gathering and analyses of the observations coming from the sensing infrastructure, including from people. However, cloud-based centralized solutions come at a price, regarding both resource consumption and privacy risk. In this talk, I will provide an overview of the past and ongoing MIMOVE research that leverages mobile collaborative sensing and computing to enhance the effectiveness of urban participatory mobile distributed systems from the standpoint of the delivered quality of service. I will further use as an illustrative case study, the experience with the Ambiciti platform and associated mobile app for monitoring the individual and collective exposure to environmental pollution.
Valérie Issarny (https://mimove.inria.fr/