H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 55 Citations 13,391 175 World Ranking 2214 National Ranking 21

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • The Internet
  • Computer network

His primary scientific interests are in Distributed computing, Grid computing, Cloud computing, Virtualization and Utility computing. His study connects Scheduling and Distributed computing. His work deals with themes such as Supercomputer and Parallel computing, which intersect with Scheduling.

Dick Epema has researched Grid computing in several fields, including Resource allocation and Workflow. His Virtualization study integrates concerns from other disciplines, such as High availability, Services computing, Resource management and Computational science. Dick Epema combines subjects such as Social computing, Scalability and The Internet with his study of End-user computing.

His most cited work include:

  • Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing (752 citations)
  • The bittorrent p2p file-sharing system: measurements and analysis (670 citations)
  • Edge-centric Computing: Vision and Challenges (584 citations)

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

Dick Epema mainly focuses on Distributed computing, Scheduling, Grid computing, BitTorrent and Computer network. His studies in Distributed computing integrate themes in fields like Scalability, Workload, Parallel computing, Dynamic priority scheduling and Cloud computing. His Scheduling research is multidisciplinary, incorporating elements of Queue, Supercomputer and Resource allocation.

His Grid computing research includes elements of Testbed, Semantic grid and Workflow. He works mostly in the field of BitTorrent, limiting it down to topics relating to Upload and, in certain cases, Computer security and Internet privacy. The concepts of his Computer network study are interwoven with issues in File sharing and The Internet.

He most often published in these fields:

  • Distributed computing (55.88%)
  • Scheduling (21.08%)
  • Grid computing (19.12%)

What were the highlights of his more recent work (between 2013-2021)?

  • Distributed computing (55.88%)
  • Scheduling (21.08%)
  • Workflow (9.31%)

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

Distributed computing, Scheduling, Workflow, Cloud computing and Scalability are his primary areas of study. The study incorporates disciplines such as Dynamic priority scheduling, Graph, Server, Data analysis and Big data in addition to Distributed computing. His Scheduling study incorporates themes from Data modeling and Resource allocation.

His Workflow research integrates issues from Autoscaling and Workload. His Cloud computing research is multidisciplinary, relying on both Quality of service, Social gaming, Provisioning and Operations research. His Bandwidth research incorporates themes from Download and The Internet, BitTorrent, Peer-to-peer.

Between 2013 and 2021, his most popular works were:

  • Edge-centric Computing: Vision and Challenges (584 citations)
  • An experience report on using gamification in technical higher education (127 citations)
  • A Medium-Scale Distributed System for Computer Science Research: Infrastructure for the Long Term (91 citations)

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

  • Operating system
  • The Internet
  • Computer network

Dick Epema focuses on Distributed computing, Cloud computing, Scheduling, Workflow and Graph. Dick Epema specializes in Distributed computing, namely Symmetric multiprocessor system. His Cloud computing research includes themes of Social gaming and Data science.

His Scheduling study combines topics in areas such as Feedback loop, Resource allocation, Database and Data analysis. Dick Epema combines subjects such as Parallel computing, Autoscaling, Elasticity, Pairwise comparison and Provisioning with his study of Workflow. His study in Graph is interdisciplinary in nature, drawing from both Algorithm design, Scalability and Load balancing.

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

The bittorrent p2p file-sharing system: measurements and analysis

Johan Pouwelse;Paweł Garbacki;Dick Epema;Henk Sips.
international workshop on peer to peer systems (2005)

1182 Citations

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

Edge-centric Computing: Vision and Challenges

Pedro Garcia Lopez;Alberto Montresor;Dick Epema;Anwitaman Datta.
acm special interest group on data communication (2015)

863 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

Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds

Saeid Abrishami;Mahmoud Naghibzadeh;Dick H.J. Epema.
Future Generation Computer Systems (2013)

632 Citations

A worldwide flock of Condors: load sharing among workstation clusters

D. H. J. Epema;M. Livny;R. van Dantzig;X. Evers.
Future Generation Computer Systems (1996)

458 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

Cost-Driven Scheduling of Grid Workflows Using Partial Critical Paths

S. Abrishami;M. Naghibzadeh;D. H. J. Epema.
IEEE Transactions on Parallel and Distributed Systems (2012)

274 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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