EdgeFlooding aims at obtaining a novel implementation of the system that adopts an edge/cloud approach where part of the data analysis namely the image analysis is moved at the edge in proximity of the monitoring sites The extension of the original implementation carried out by UNIPI with the support of UMBC will restructure the architecture of the platform in order to organize its modules into microservices thus allowing their deployment on different computing nodes This modular architecture based on microservices will easily allow to carry out different experiment configurations: one edge/cloud configuration where the image analysis services are deployed on edge nodes while the social media and data aggregation services are hosted on the cloud; and one cloud configuration where all the services are deployed on the cloud as in the original implementation
In order to assess the performance of such system an extensive experimentation will be carried out by UNIPI on two phases: a first phase involving only the Grid’5000 testbed and a second phase involving the Virtual Wall testbed and the Fog testbed at UNIPI The aim is to assess whether a distributed edge/cloud computing approach is feasible for the implementation of future environmental monitoring systems