Following the Internet of Things (IoT) paradigm, more and more connected and embedded devices like sensors, smart phones, or entertainment devices are becoming available surrounding us. This increasing number of IoT devices leads to an increasing amount of resources made available to the users. For instance, if devices like smart phones or smart TVs are considered, this includes computing and storage resources. In this paper we propose a container-based resource allocation scheme to increase the utilization of these IoT resources and made them shareable between different users due to cloud-centric IoT deployments. The approach allows various applications and users to dynamically allocate resources offered by edge devices and process IoT data close to the source. The approach is evaluated regarding its feasibility in terms of performance on a exemplary resource constrained IoT device.
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