Data management in an industrial service-oriented platform
Pervasive computing envisions environments where computers are blended into our environment to provide services. This vision is today very popular and a number of pervasive platforms are already used today in smart homes, buildings or plants. Many platforms today are based on service-oriented computing. This allows to deal with dynamicity and heterogeneity issues. However, this approach is not adapted to applications based on flows of time-stamped data. In this paper, we present a service-oriented platform extended with a time-series database. This platform can host a variety of applications with different requirements regarding data to be manipulated. This is demonstrated in the industry 4.0 domain and, more precisely, on a water management application.
