Fog computing and data as a service: A goal-based modeling approach to enable effective data movements

Abstract

Data as a Service (DaaS) organizes the data management life-cycle around the Service Oriented Computing principles. Data providers are supposed to take care not only of performing the life-cycle phases, but also of the data movements from where data are generated, to where they are stored, and, finally, consumed. Data movements become more frequent especially in Fog environments, i.e., where data are generated by devices at the edge of the network (e.g., sensors), processed on the cloud, and consumed at the customer premises. This paper proposes a goal-based modeling approach for enabling effective data movements in Fog environments. The model considers the requirements of several customers to move data at the right time and in the right place, taking into account the heterogeneity of the resources involved in the data management.