Sumant Tambe

This paper describes a real-time event-based system to distribute and analyze high-velocity sensor data collected from a soccer game case study used in the DEBS 2013 Grand Challenge. Our approach uses the OMG Data Distribution Service (DDS) for data dissemination and we combine it with algorithms to provide the necessary real-time analytics. We implemented the system using the Real-Time Innovations (RTI) ConnextTMDDS implementation, which provides a novel platform for Quality-of-Service (QoS)-aware distribution of data and real-time event processing.

The Object Management Group’s (OMG) Data Distribution Service (DDS) provides many configurable policies which determine end-to-end quality of service (QoS) of applications.

Avionics Sensor Health Assessment is a sub-discipline of Integrated Vehicle Health Management (IVHM), which relates to the collection of sensor data, distributing it to diagnostics/prognostics algorithms, detecting run-time anomalies, and scheduling maintenance procedures. Real-time availability of the sensor health diagnostics for aircraft (manned or unmanned) subsystems allows pilots and operators to improve operational decisions. Therefore, avionics sensor health assessments are used extensively in the mil-aero domain.

As recent technology trends usher us into the many-core era, software applications must scale as 1000s core become available in a single chip. Middleware is a key infrastructure component between applications and the operating system. Therefore, new middleware mechanisms must be developed to handle scheduling, resource sharing, and communication on platforms with 100s and 1000s of cores. The solution must help application developers create concurrent software and must be easy to use.