Noa-aid: Network overlays for adaptive information aggregation, indexing and discovery at the edge

This paper presents NOA-AID a network architecture for targeting highly distributed systems, composed of a large set of distributed stream processing devices, aimed at adaptive information indexing, aggregation and discovery in streams of data. The architecture is organized on two layers. The upper layer is aimed at supporting the information discovery process by providing a distributed index structure. The lower layer is mainly devoted to resource aggregation based on epidemic protocols targeting highly distributed and dynamic scenarios, well suited to stream-oriented scenarios. We present a theoretical study on the costs of information management operations, also giving an empirical validation of such findings. Finally, we presented an experimental evaluation of the ability of our solution to be effective and efficient in retrieving meaningful information in streams on a highly-dynamic and distributed scenario.