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.
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