Fogmotic: Applying Osmotic Data Services to improve Database Operations on SmartCity Environments

Abstract

The increase in the computing capabilities of Edge devices made it possible to distribute the processing contracted in the Cloud, leveraging the emergence of Edge Computing and Fog Computing. Fog's improved processing of data obtained by Edge quickly progressed from simple cleaning and categorization to more refined and contextually related information. Thus, there is a growing need for persistent storage at the Fog/Edge level, especially in facing the scenarios present in Osmotic Computing. With this context in mind, our work presents a solution for data persistence between the various levels of Edge/Fog/Cloud. Going further, we introduce Fogmotic, a Database as a Service platform that focuses on distribution, synchronization, reliability, efficiency, and data migration at the Edge/Fog/Cloud levels. Finally, we present an experimental evaluation of the reading, writing, and sync rate performance obtained by Fogmotic.