Use-case 1: IoT and Data

We consider an IoT-based, automation-capable, smart sensing and monitoring framework for infrastructures that leverage the benefits of edge AI provided by CECC infrastructure to improve its performance and reliability. This framework brings the physical and digital worlds to a new level of integration, increasing the amount of data that needs to be processed at any time to make decisions and trigger responses to the sensed conditions.

We will demonstrate the CECCM’s capabilities to deploy and run microservices at the edges of the monitored infrastructure. CECC infrastructure allows us to build applications that take advantage of edge infrastructures, provide lower latency in the computation process, as close as possible to the point of data generation, with increased data security and privacy. It also allows developers to accelerate the development and distribution of their application in all the levels of the cloud-edge continuum.

Use-Case 2: Smart Monitoring System using UAV

We propose a smart monitoring system that will harness the current proliferation of video surveillance devices using enabling technologies and techniques, such as UAVs, far edge, AI, and ML. The objective of this use case is to demonstrate the flexibility that offers CECM to the application for changing its behaviour in an easy and seamless. For example, the application’s behaviour can vary via a simple SOTL-based request from object tracking, movement detection, prediction, and human activity surveillance, to unusual activity detection. Moreover, we will demonstrate the CECM’s capabilities to deploy and run micro-services on top of the far edge (e.g., UAV) and anticipate drone unavailability by migrating the micro-service from one drone to another or the infrastructure edge.

Use-Case 3:Deciphering the universe: processing hundreds of TBs of astronomy data

We will demonstrate the CECCM’s capabilities to deploy and run astronomical software to potentially process hundreds of TBs of data cubes. This will allow us to integrate scientific applications that will take advantage of hybrid cloud native infrastructures, to optimize the computation process based on smart AI algorithms. The implementation of this UC also enables the whole astronomy community, scientific and research teams to accelerate the analysis of the novel data gathered from newer and additional instruments and data sources, such as JWST