ESR15

Mohammed Salman, Shaik

• Education:
  • M.S – Dortmund University of Applied Sciences, Germany
    “Embedded Systems for Mechatronics”
• Research Interests:
  • Real-time Systems, Service Oriented Architecture

Research project status:

Ongoing

PhD Student

shaik.mohammed.salman@mdh.se

Scheduling of Elastic Real-time Applications

Host: ABB Robotics

• Prof. Thomas Nolte

Research Area:

1. Integration of legacy software functions on shared parallel processors, featuring sub-challenges related to predictable interference among software functions, prioritization of software functions and runnable tasks, deadlock-free mutual-exclusion among software functions.

2. Scalable high performance real-time software, allowing for a dynamic number of real-time software functions to co-exist in an environment that is shared with the system’s basic functionality. This include guarantees on freedom of starvation of resources among software functions, given specified levels of quality of service.

Publications:

• Fogification of industrial robotic systems: Research challenges

  SM Salman, V Struhar, AV Papadopoulos, M Behnam, T Nolte

  Proceedings of the Workshop on Fog Computing and the IoT, 41-45′

• Enabling fog-based industrial robotics systems

  MS Shaik, V Struhár, Z Bakhshi, VL Dao, N Desai, AV Papadopoulos, et al.

  2020 25th IEEE International Conference on Emerging Technologies and Factory Automation

• A systematic methodology to migrate complex real-time software systems to multi-core platforms

  SM Salman, AV Papadopoulos, S Mubeen, T Nolte

  Journal of Systems Architecture, 2021

• Scheduling Elastic Applications in Compositional Real-Time Systems

  SM Salman, S Mubeen, AV Papadopoulos, T Nolte

  26th IEEE Conference on Emerging Technologies and Factory Automation (ETFA)