Incorporating Scenarios and States Definitions on Real-Time Entity Monitoring in PAbMM

Data are continuously arriving the current markets, and the data stream engines are an alternative for this kind of applications. PAbMM is a real-time processing architecture specialized on measurement projects and mounted on Apache Storm. The project definitions are loaded based on a measurement and evaluation framework. In this framework, the indicator is the way in which each measure is interpreted based on associated decision criteria for making real-time decisions. However, the decision criteria are susceptible to be influenced by the context, the different states related to the entity under monitoring and the specific indicator. Thus, a new schema is introduced as a compliment for the project definition, allowing incorporating multiple scenarios, and the entity’s states in relation to the indicators for supporting the multi-criteria decision making. This allows each indicator with its corresponding decision criteria can be interpreted by a specific scenario and an entity’s current state. In addition, the cincamipd library was extended for supporting the complementary schema, jointly with its interchanging under the JSON and XML data formats, using optionally the ZIP compression. Because the library is open source and available on GitHub, the underlying idea is to foster the interoperability between measurement systems. A discrete simulation is introduced for describing the times and sizes associated with the new schema when the volume of the projects to update grow-up. The results of the discrete simulation are very promising, only 0.308 seconds were necessary for updating 1000 active projects.