| Resumo: | In the current era of technology, computers have shrinked to the point that more than half of the world population always carries one with them - their mobile devices. These are used in all sorts of different activities, constantly generating information that needs to be stored or processed somewhere. To cope with the huge amounts of data generated by all of these devices, applications have resorted to Cloud services to provide them with the much needed computational and storage resources, but as these remote infrastructures still represented a bottleneck communication wise, a new paradigm has been emerging, Edge Computing. Instead of processing and storing all the data in more distant cloud services, the data is spread among mobile devices and edge servers connected in a shared network. In order to fully take advantage of the low latency times experienced in the Edge, applications still needed a distributed storage edge-oriented system, capable of handling the contents generated by all of these mobile devices. The current state-of-the-art storage systems are able to provide these applications with a storing platform that uses mobile devices or edge servers as data storing points, but neither uses both. In this thesis we propose a Key-Value Edge Storage System named Basil, that uses both mobile devices and edge infrastructures as nodes of the system, capable of providing users from different locations with a cohesive and consistent distributed storage system. Furthermore, we will test our KV store against existing NoSQL storage models deployed in the edge, as well as its own performance while varying the number of nodes it relies on.
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