Real-time Intelligent Systems on Edge (RISE) Laboratory
RISE Lab: Research Vision and Mission
5G+ aims to create a seamless reality where the digital and physical worlds merge
Sensors embedded in the physical world will send data to digital twins (or control apps) to update the digital representation (or perform actuations) in real time
Inevitable trend towards tremendous amounts of sensory data that must be processed using AI/ML models (compute and storage heavy) in a timely fashion…
Such processing is beyond the capabilities of resource constrained computation systems available onboard IoT devices - Hence, Multi-access Edge Computing (MECs)
MECs allow execution of latency-sensitive CPS/IoT applications as edge services in containers within MEC servers which are co-located with 5G/6G base stations
RISE Lab endeavors to build end-to-end MEC-based CPS/IoT systems, with emphasis on effective computation/storage/communication resource allocation strategies
Core Research Expertise: Real-time Scheduling in Cyber-Physical Systems
Optimal, Heuristic and Stochastic Strategies for RT Scheduling in Cyber-Physical Systems
Handling applications with ‘sense-compute-actuate’ and ‘inter-task’ data dependencies
On platforms such as multicores, NoCs, bus-connected processors (CAN, FlexRay), time-sensitive switched networks (802.1Q) and Multi-access Edge Computing (MEC) systems
End-to-end latency-constrained strategies for energy, reliability, security optimizations
Adaptive Cruise Control (ACC) helps to maintain a safe distance within two cars
Electric Power Steering (EPS) provides steering assistance to a driver with the help of an electric motor
Traction Control (TC) helps to improve a car’s stability when road conditions are slippery
The applications have stipulated periodicities and possibly may need to be handled along with event-triggered aperiodic tasks
Source nodes usually represent sensing while sink nodes denote actuation; remaining are computing nodes
Tasks have data dependencies; label on edges represent data size
Research Focus #1: Resource Allocation Strategies for Software Defined Vehicles
Coming Soon...
Research Focus #2: Route Planning for Electric Vehicles and Mixed Fleets in Logistics
Coming Soon...
Research Focus #3: Assembly Lines for Flexible Manufacturing Systems in I4.0
Coming Soon...
Research Focus #4: Federated Operator Platforms for Multi-access Edge Computing
Coming Soon...
Research Focus #5: Scheduling and Route Planning for Unmanned Aerial Vehicles
Coming Soon...
Research Focus #6: CAD Frameworks for Efficient and Secure Connected Mobility
