H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 45 Citations 9,880 170 World Ranking 3645 National Ranking 47

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • The Internet
  • Software

Alexandru Iosup mainly focuses on Distributed computing, Cloud computing, Grid computing, Virtualization and Utility computing. His research in the fields of Fault tolerance overlaps with other disciplines such as Trace-based simulation. His Curriculum research extends to the thematically linked field of Cloud computing.

DRMAA is the focus of his Grid computing research. His Virtualization study combines topics from a wide range of disciplines, such as Services computing and Computational science. His specific area of interest is Utility computing, where he studies End-user computing.

His most cited work include:

  • Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing (752 citations)
  • TRIBLER: a social‐based peer‐to‐peer system (342 citations)
  • Procedural content generation for games: A survey (298 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Distributed computing, Cloud computing, Data science, Scheduling and Scalability. The concepts of his Distributed computing study are interwoven with issues in Workload, Grid computing, Resource allocation and Dynamic priority scheduling. Alexandru Iosup combines subjects such as Utility computing and Semantic grid with his study of Grid computing.

His work on Virtualization as part of general Cloud computing research is often related to Benchmarking, thus linking different fields of science. His Virtualization research integrates issues from Services computing and Computational science. His study focuses on the intersection of Data science and fields such as Workflow with connections in the field of Autoscaling.

He most often published in these fields:

  • Distributed computing (44.19%)
  • Cloud computing (38.14%)
  • Data science (18.60%)

What were the highlights of his more recent work (between 2017-2021)?

  • Cloud computing (38.14%)
  • Distributed computing (44.19%)
  • Data science (18.60%)

In recent papers he was focusing on the following fields of study:

His main research concerns Cloud computing, Distributed computing, Data science, Workflow and Scheduling. His work on Function as a service as part of general Cloud computing study is frequently linked to Benchmarking, therefore connecting diverse disciplines of science. His Resource contention study in the realm of Distributed computing interacts with subjects such as Set.

His Data science research is multidisciplinary, incorporating perspectives in Domain, Service and Body of knowledge. His Scheduling research includes themes of Scalability and Reference architecture. His biological study spans a wide range of topics, including Ubiquitous computing, Grid computing, Computer cluster and Utility computing.

Between 2017 and 2021, his most popular works were:

  • Serverless is More: From PaaS to Present Cloud Computing (37 citations)
  • A SPEC RG Cloud Group's Vision on the Performance Challenges of FaaS Cloud Architectures (28 citations)
  • An Experimental Performance Evaluation of Autoscalers for Complex Workflows (17 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • The Internet
  • Software

His primary areas of investigation include Cloud computing, Big data, Data science, Workload and Workflow. His Cloud computing study combines topics in areas such as Telecommunications, Scheduling and Distributed computing. The various areas that Alexandru Iosup examines in his Scheduling study include Computer cluster, Ubiquitous computing, Quality of service, Utility computing and Grid computing.

His Distributed computing research includes elements of Scalability and Reliability. His Data science study incorporates themes from Edge computing and Body of knowledge. His Workflow research incorporates elements of Autoscaling, Provisioning, Focus and Resource allocation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

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

A Iosup;S Ostermann;M N Yigitbasi;R Prodan.
IEEE Transactions on Parallel and Distributed Systems (2011)

1122 Citations

A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing

Simon Ostermann;Alexandria Iosup;Nezih Yigitbasi;Radu Prodan.
international conference on cloud computing (2009)

802 Citations

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

JA Pouwelse;P Garbacki;J Jun Wang;Arthur Bakker.
Concurrency and Computation: Practice and Experience (2008)

667 Citations

Procedural content generation for games: A survey

Mark Hendrikx;Sebastiaan Meijer;Joeri Van Der Velden;Alexandru Iosup.
ACM Transactions on Multimedia Computing, Communications, and Applications (2013)

511 Citations

On the Performance Variability of Production Cloud Services

Alexandru Iosup;Nezih Yigitbasi;Dick Epema.
ieee acm international symposium cluster cloud and grid computing (2011)

386 Citations

The Grid Workloads Archive

Alexandru Iosup;Hui Li;Mathieu Jan;Shanny Anoep.
Future Generation Computer Systems (2008)

360 Citations

An experience report on using gamification in technical higher education

Alexandru Iosup;Dick Epema.
technical symposium on computer science education (2014)

338 Citations

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

J. A. Pouwelse;P. Garbacki;J. Wang;A. Bakker.
Concurrency and Computation: Practice and Experience (2008)

255 Citations

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

Derrick Kondo;Bahman Javadi;Alexandru Iosup;Dick Epema.
grid computing (2010)

228 Citations

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

A. Iosup;C. Dumitrescu;D. Epema;Hui Li.
grid computing (2006)

214 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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