ALT + +→ Schriftgröße anpassen
ALT + /→ Kontrast anpassen
ALT + M→ Hauptnavigation
ALT + Y→ Socials
ALT + W→ Studiengang wählen
ALT + K→ Homenavigation
ALT + G→ Bildwechsel
ALT + S→ Übersicht
ALT + P→ Funktionsleiste
ALT + O→ Suche
ALT + N→ Linke Navigation
ALT + C→ Inhalt
ALT + Q→ Quicklinks
ESC→ Alles zurücksetzen
X
A - keyboard accessible X
A
T

M.Sc. Stefan Kehrer

Stefan Kehrer is a PhD student in the Parallel and Distributed Computing Group at Reutlingen University, Germany and does research in the fields of Cloud Computing, Parallel Computing, and Distributed Systems. He is a member of the Doctoral Program Services Computing at the Herman Hollerith Center in Böblingen and affiliated with the Institute of Architecture of Application Systems (IAAS) at the University of Stuttgart led by Prof. Dr. Dr. h. c. Frank Leymann. As part of his PhD project, Stefan Kehrer investigates how parallel applications can benefit from cloud environments and cloud-specific properties such as on-demand access to compute resources, pay-per-use, and elasticity. In this context, he aims to develop novel concepts and methods for the design, development, and management of cloud-aware parallel applications and systems.

Publications

  • S. Kehrer and W. Blochinger. Equilibrium: An Elasticity Controller for Parallel Tree Search in the Cloud. The Journal of Supercomputing, in press, 2020.
    [ DOI ]
  • S. Kehrer and W. Blochinger. Development and Operation of Elastic Parallel Tree Search Applications Using TASKWORK. In Cloud Computing and Services Science, Communications in Computer and Information Science (CCIS), Volume 1218, pages 42-65, Springer, 2020. 
    [ DOI ]
  • S. Kehrer, J. Scheffold, W. Blochinger. Serverless Skeletons for Elastic Parallel Processing. In Proc. of the 5th IEEE International Conference on Big Data Intelligence and Computing (DATACOM 2019), pages 185-192, Kaohsiung, Taiwan, 2019. 
    [ PDF ]
  • S. Kehrer and W. Blochinger. A Survey on Cloud Migration Strategies for High Performance Computing. In Proc. of the 13th Symposium and Summer School On Service-Oriented Computing, pages 57-69, Heraklion, Crete, Greece, 2019. 
    [ PDF ]
  • S. Kehrer and W. Blochinger. Elastic Parallel Systems for High Performance Cloud Computing: State-of-the-Art and Future Directions. Parallel Processing Letters, 29(02):1950006-1-1950006-20, 2019.
    [ PDF | DOI ]
  • S. Kehrer and W. Blochinger. Model-based Generation of Self-adaptive Cloud Services. In Cloud Computing and Services Science, Communications in Computer and Information Science (CCIS), Volume 1073, pages 40-63, Springer, 2019. 
    [ DOI ]
  • S. Kehrer and W. Blochinger. TASKWORK: A Cloud-aware Runtime System for Elastic Task-parallel HPC Applications. In Proc. of the 9th International Conference on Cloud Computing and Services Science, pages 198-209, Heraklion, Crete, Greece, 2019. 
    [ DOI ]
  • S. Kehrer, F. Riebandt, W. Blochinger. Container-based Module Isolation for Cloud Services. In Proc. of the 13th IEEE International Conference on Service-Oriented System Engineering (SOSE 2019), pages 177-186, San Francisco East Bay, California, USA, 2019.
    [ PDF | DOI ]
  • S. Kehrer and W. Blochinger. Migrating Parallel Applications to the Cloud: Assessing Cloud Readiness based on Parallel Design Decisions. Software-Intensive Cyber-Physical Systems (SICS), 34(2-3):73-84, 2019.
    [ DOI ]
  • S. Kehrer and W. Blochinger. AUTOGENIC: Automated Generation of Self-configuring Microservices. In Proc. of the 8th International Conference on Cloud Computing and Services Science, pages 35-46, Funchal, Madeira, Portugal, 2018. 
    [ PDF | DOI ]
  • S. Kehrer and W. Blochinger. TOSCA-based container orchestration on Mesos. Computer Science – Research and Development, 33(3-4):305-316, 2018.
    [ PDF | DOI ]