World's Best Scientists 2026 revealed!
Thomas Fahringer

Thomas Fahringer

D-Index & Metrics

Computer Science

D-Index
55
Citations
12346
World Ranking
4306
National Ranking
28

Overview

Thomas Fahringer is affiliated with the University of Innsbruck in Austria and has a primary research focus in the field of Computer Science. Their work spans multiple subfields including Computer Networks and Communications, Information Systems, Hardware and Architecture, Information Systems and Management, and Electrical and Electronic Engineering.

The scientist's research extensively covers topics related to Distributed and Parallel Computing Systems, Cloud Computing and Resource Management, Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, Scientific Computing and Data Management, Research Data Management Practices, and IoT and Edge/Fog Computing.

Frequent publication venues for Thomas Fahringer include arXiv (Cornell University), International Journal of Parallel Programming, Future Generation Computer Systems, Internet of Things, and IEEE Software.

Thomas Fahringer has co-authored research with several scholars, notably Peter Thoman, Sasko Ristov, Stefan Pedratscher, Juan Aznar-Poveda, and Philip Salzmann.

Recent papers by Thomas Fahringer include the following:

  • AFCL: An Abstract Function Choreography Language for serverless workflow specification (2020) published in Future Generation Computer Systems
  • Evolutionary Multi-Objective Workflow Scheduling for Volatile Resources in the Cloud (2020) published in IEEE Transactions on Cloud Computing
  • Workflows Community Summit: Bringing the Scientific Workflows Community Together (2021) published in arXiv (Cornell University)
  • xAFCL: Run Scalable Function Choreographies Across Multiple FaaS Systems (2021) published in IEEE Transactions on Services Computing
  • DAF: Dependency-Aware FaaSifier for Node.js Monolithic Applications (2020) published in IEEE Software

Best Publications

  • Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing

    A Iosup;S Ostermann;M N Yigitbasi;R Prodan

  • A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing

    Simon Ostermann;Alexandria Iosup;Nezih Yigitbasi;Radu Prodan

  • Examining the Challenges of Scientific Workflows

    Y. Gil;E. Deelman;M. Ellisman;T. Fahringer

  • Scheduling of scientific workflows in the ASKALON grid environment

    Marek Wieczorek;Radu Prodan;Thomas Fahringer

  • ASKALON: a tool set for cluster and Grid computing

    Thomas Fahringer;Alexandru Jugravu;Sabri Pllana;Radu Prodan

  • ASKALON: A Grid Application Development and Computing Environment

    T. Fahringer;R. Prodan;Rubing Duan;F. Nerieri

  • A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments

    Hamid Mohammadi Fard;Radu Prodan;Juan Jose Durillo Barrionuevo;Thomas Fahringer

  • ASKALON: A Development and Grid Computing Environment for Scientific Workflows

    Thomas Fahringer;Radu Prodan;Rubing Duan;Jüurgen Hofer

  • Specification of grid workflow applications with AGWL: an Abstract Grid Workflow Language

    T. Fahringer;J. Qin;S. Hainzer

  • A Truthful Dynamic Workflow Scheduling Mechanism for Commercial Multicloud Environments

    Hamid Mohammadi Fard;Radu Prodan;Thomas Fahringer

  • GroudSim: an event-based simulation framework for computational grids and clouds

    Simon Ostermann;Kassian Plankensteiner;Radu Prodan;Thomas Fahringer

  • Grid capacity planning with negotiation-based advance reservation for optimized QoS

    Mumtaz Siddiqui;Alex Villazón;Thomas Fahringer

  • A taxonomy of task-based parallel programming technologies for high-performance computing

    Peter Thoman;Kiril Dichev;Thomas Heller;Roman Iakymchuk

  • A static parameter based performance prediction tool for parallel programs

    Thomas Fahringer;Hans P. Zima

  • GRP-HEFT: A Budget-Constrained Resource Provisioning Scheme for Workflow Scheduling in IaaS Clouds

    Hamid Reza Faragardi;Mohammad Reza Saleh Sedghpour;Saber Fazliahmadi;Thomas Fahringer

  • Dynamic scheduling of scientific workflow applications on the grid: a case study

    Radu Prodan;Thomas Fahringer

  • ASKALON: a tool set for cluster and Grid computing: Research Articles

    Thomas Fahringer;Alexandru Jugravu;Sabri Pllana;Radu Prodan

  • An automatic input-sensitive approach for heterogeneous task partitioning

    Klaus Kofler;Ivan Grasso;Biagio Cosenza;Thomas Fahringer

  • Bi-criteria Scheduling of Scientific Workflows for the Grid

    M. Wieczorek;S. Podlipnig;R. Prodan;T. Fahringer

  • A multi-objective auto-tuning framework for parallel codes

    Herbert Jordan;Peter Thoman;Juan J. Durillo;Simone Pellegrini

  • An Early Performance Analysis of Cloud Computing Services for Scientific Computing

    Simon Ostermann;Alexandru Iosup;Nezih Yigitbasi;Radu Prodan

Frequent Co-Authors

Radu Prodan
Radu Prodan University of Innsbruck
Hong-Linh Truong
Hong-Linh Truong Aalto University
Alexandru Iosup
Alexandru Iosup Vrije Universiteit Amsterdam
Dick Epema
Dick Epema Delft University of Technology
Péter Kacsuk
Péter Kacsuk MTA SZTAKI Laboratory of Parallel and Distributed Systems
Juan J. Durillo
Juan J. Durillo Leibniz Supercomputing Centre
Ewa Deelman
Ewa Deelman University of Southern California
Peter Brunner
Peter Brunner Washington University in St. Louis

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