What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Software
The scientist’s investigation covers issues in Distributed computing, Cloud computing, Workflow, Grid computing and Scheduling.
His research in Distributed computing intersects with topics in Scalability, Resource allocation, Quality of service, Utility computing and Resource.
His Cloud computing study combines topics from a wide range of disciplines, such as Symmetric multiprocessor system, Set and Computational science.
His study in Computational science is interdisciplinary in nature, drawing from both Virtual machine, Services computing and End-user computing.
His work in Workflow addresses issues such as Processor scheduling, which are connected to fields such as Fixed-priority pre-emptive scheduling.
His Grid computing research integrates issues from Abstraction, Computer cluster, Software engineering and Performance prediction.
His most cited work include:
- Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing (752 citations)
- A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing (297 citations)
- Scheduling of scientific workflows in the ASKALON grid environment (289 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Distributed computing, Cloud computing, Workflow, Grid computing and Scheduling.
His studies in Distributed computing integrate themes in fields like Quality of service, Scalability, Resource and Dynamic priority scheduling.
His Cloud computing study combines topics in areas such as Virtual machine, Provisioning and Computational science.
The Workflow management system and Workflow technology research Radu Prodan does as part of his general Workflow study is frequently linked to other disciplines of science, such as Geochemistry and Environmental science, therefore creating a link between diverse domains of science.
The Grid computing study combines topics in areas such as Middleware, Computer cluster and Semantic grid.
Scheduling and Genetic algorithm are commonly linked in his work.
He most often published in these fields:
- Distributed computing (53.76%)
- Cloud computing (37.59%)
- Workflow (33.08%)
What were the highlights of his more recent work (between 2018-2021)?
- Workflow (33.08%)
- Geochemistry (5.26%)
- Trace (5.26%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Workflow, Geochemistry, Trace, Environmental science and Cloud computing.
His biological study spans a wide range of topics, including Workload, TRACE, Focus and Data science.
The various areas that Radu Prodan examines in his Cloud computing study include Virtual machine, Distributed computing, Computation, Provisioning and Job shop scheduling.
He has researched Distributed computing in several fields, including Scalability, Set, Resource, Orchestration and Solver.
His Provisioning research focuses on Virtualization and how it connects with Leverage.
His research investigates the connection between Job shop scheduling and topics such as Emerging technologies that intersect with issues in Microservices and Scheduling.
Between 2018 and 2021, his most popular works were:
- EDITORIAL: Special Issue on Large Scale Cooperative Virtual Environments (8 citations)
- The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures (5 citations)
- Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness (3 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Software
- Programming language
Radu Prodan spends much of his time researching Cloud computing, Distributed computing, Data science, Resource and Workflow.
As a member of one scientific family, Radu Prodan mostly works in the field of Cloud computing, focusing on Computation and, on occasion, Job shop scheduling and Computer engineering.
He interconnects Virtual machine, Metadata, Database, Microservices and Scheduling in the investigation of issues within Distributed computing.
His research integrates issues of Multi-objective optimization and Application lifecycle management in his study of Resource.
His work is dedicated to discovering how Multi-objective optimization, Pareto principle are connected with Set and other disciplines.
He combines subjects such as Workload, TRACE and Focus with his study of Workflow.
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