Professorship for Operating Systems and Middleware

recent posts

current teaching activities

winter term (2020/2021)

• Future of Computing - On the Road to Quantum event
• Betriebssysteme I
• Eingebettete Betriebssysteme
• Research Seminar 2020/21
• Bachelorprojekt 2020/2021: "Die IoT-Middleware im Zug"

summer term (2020)

• Digital Rail Summer School event
• Betriebssysteme II
• Parallel Programming and Heterogeneous Computing
• Research Seminar 2020

current projects

Free of charge access for researchers to a powerful IT infrastructure.

Vehicle2X technology in railway systems for comfort and maintenance efficiency.

Transfer of distributed ledger technologies to the railway sector.

Developing a telemedicine system for the support of cardiological patients.

current open source projects

Near-storage compute-aware file system and FPGA operator pipelines.

Co-simulation and Hybrid Testbed for Distributed Applications.

A C++ parallel programming framework for NUMA systems, based on PGAS semantics.

For further projects, please refer to the OSM group on GitHub and the OSM group on GitLab.

current topics

• resource management from core to Cloud
  • dynamic workload management in distributed systems
  • dynamic, workload-dependent resource scaling (e.g., dynamic LPARs)
  • memory optimizations for virtual machines (e.g., memory migration benchmarks)
  • NUMA-aware programming with the PGASUS framework: applications, case studies, benchmarks
  • architectures of future server systems
  • lock-free data structures
  • multicore/NUMA
  • advanced topology discovery with bandwith and latency measurements: find shared interconnects
• accelerator programming / heterogeneous computing
  • high-Level programming facilities for distributed GPU computing (e.g., CloudCL)
  • high-level programming facilities for FPGAs (e.g., CAPI SNAP, OpenCL)
  • virtualization / Containerization for GPUs or FPGAs
  • FPGAs in IaaS Cloud Resources (e.g., Amazon F instances)
  • hardware-accelerated memory-compression (e.g., DEFLATE, 842 compression)
  • evaluation of integrated GPUs and APUs for latency-critical workloads (e.g., audio processing)
  • new programming languages & frameworks: CAPI SNAP, Radeon Open Compute, etc.
• dependability and fault injection
  • assessment
  • fault tolerance of service-oriented architectures
  • fault injection in distributed systems
  • microservice architectures
  • decentralized architectures (e.g., distributed ledgers)
  • Internet of Things (e.g., Rail2X, IEEE 802.11p)