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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
12322
World Ranking
4787
National Ranking
70

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Alexandru Iosup is affiliated with Vrije Universiteit Amsterdam in the Netherlands. Their research is primarily situated within the field of Computer Science, with a particular emphasis on subfields such as Computer Networks and Communications, Information Systems, Information Systems and Management, Computer Vision and Pattern Recognition, and Artificial Intelligence.

Their work spans several main topics, including:

  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Scientific Computing and Data Management
  • IoT and Edge/Fog Computing
  • Advanced Data Storage Technologies
  • Graph Theory and Algorithms
  • Advanced Database Systems and Queries

Alexandru Iosup has contributed to multiple publication venues, frequently publishing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Future Generation Computer Systems
  • Communications of the ACM
  • IEEE Internet Computing

Their recent papers include:

  • "Methods included," 2022, Communications of the ACM
  • "The future is big graphs," 2021, Communications of the ACM
  • "The State of Serverless Applications: Collection, Characterization, and Community Consensus," 2021, IEEE Transactions on Software Engineering
  • "A Review of Serverless Use Cases and their Characteristics," 2020, arXiv (Cornell University)
  • "Beyond Von Neumann in the Computing Continuum: Architectures, Applications, and Future Directions," 2023, IEEE Internet Computing

Frequent collaborators of Alexandru Iosup include:

  • Cristina L. Abad
  • Nikolas Herbst
  • Simon Eismann
  • Joel Scheuner
  • Erwin van Eyk

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

  • Procedural content generation for games: A survey

    Mark Hendrikx;Sebastiaan Meijer;Joeri Van Der Velden;Alexandru Iosup

  • TRIBLER: a social‐based peer‐to‐peer system

    JA Pouwelse;P Garbacki;J Jun Wang;Arthur Bakker

  • On the Performance Variability of Production Cloud Services

    Alexandru Iosup;Nezih Yigitbasi;Dick Epema

  • An experience report on using gamification in technical higher education

    Alexandru Iosup;Dick Epema

  • The Grid Workloads Archive

    Alexandru Iosup;Hui Li;Mathieu Jan;Shanny Anoep

  • Statistical characterization of business-critical workloads hosted in cloud datacenters

    Siqi Shen;Vincent van Beek;Alexandra Iosup

  • TRIBLER: a social-based peer-to-peer system: Research Articles

    J. A. Pouwelse;P. Garbacki;J. Wang;A. Bakker

  • The Failure Trace Archive: Enabling Comparative Analysis of Failures in Diverse Distributed Systems

    Derrick Kondo;Bahman Javadi;Alexandru Iosup;Dick Epema

  • C-Meter: A Framework for Performance Analysis of Computing Clouds

    Nezih Yigitbasi;Alexandru Iosup;Dick Epema;Simon Ostermann

  • How are Real Grids Used? The Analysis of Four Grid Traces and Its Implications

    A. Iosup;C. Dumitrescu;D. Epema;Hui Li

  • The performance of bags-of-tasks in large-scale distributed systems

    Alexandru Iosup;Ozan Sonmez;Shanny Anoep;Dick Epema

  • Serverless is More: From PaaS to Present Cloud Computing

    Erwin van Eyk;Lucian Toader;Sacheendra Talluri;Laurens Versluis

  • Grid Computing Workloads

    A Iosup;D Epema

  • The future is big graphs: a community view on graph processing systems

    Sherif Sakr;Angela Bonifati;Hannes Voigt;Alexandru Iosup

  • On the dynamic resource availability in grids

    A. Iosup;M. Jan;O. Sonmez;D.H.J. Epema

  • Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language.

    Michael R. Crusoe;Sanne Abeln;Alexandru Iosup;Peter Amstutz

  • LDBC graphalytics: a benchmark for large-scale graph analysis on parallel and distributed platforms

    Alexandru Iosup;Tim Hegeman;Wing Lung Ngai;Stijn Heldens

  • How Well Do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis

    Yong Guo;Marcin Biczak;Ana Lucia Varbanescu;Alexandru Iosup

  • Dynamic Resource Provisioning in Massively Multiplayer Online Games

    V Nae;A Iosup;R Prodan

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

    Simon Ostermann;Alexandru Iosup;Nezih Yigitbasi;Radu Prodan

Frequent Co-Authors

Dick Epema
Dick Epema Delft University of Technology
Radu Prodan
Radu Prodan University of Innsbruck
Thomas Fahringer
Thomas Fahringer University of Innsbruck
Johan Pouwelse
Johan Pouwelse Delft University of Technology
Samuel Kounev
Samuel Kounev University of Würzburg
Henk Sips
Henk Sips Delft University of Technology
Derrick Kondo
Derrick Kondo French Institute for Research in Computer Science and Automation - INRIA
Peter Boncz
Peter Boncz Centrum Wiskunde & Informatica
Ramin Yahyapour
Ramin Yahyapour University of Göttingen

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