S-InTime: A social cloud analytical service oriented system

Social Networking activities raise multiple challenges for the evolution of Service Oriented Systems Engineering. The purpose of this research work is to demonstrate how a specific core technology and cloud platform with micro-services can be designed and used for performing data-intensive computations and implementing services in a real case of social analytics. In detail, we face the challenges of real-time data-intensive processing with the systematic application of in-memory view-based information modeling & computation, which is based on different types of non-materialized views without pre-aggregation of data. Finally, our study presents and compares design alternatives for these mappings, and demonstrates their effective application for implementing a large set of social analytics service types, with particular reference to the case of streaming sources of twitter data. A prototype of this system was experimented in the contest of a specific kind of social event, a permanent exhibition of Artworks, where the system collected and analyzed in real-time the tweets issued in an entire region, including exhibition sites, and continuously updated analytical dashboards placed in one of the exhibition rooms.