What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Ioan Raicu mostly deals with Distributed computing, Grid computing, Many-task computing, Scalability and Cloud computing.
His Distributed computing research is multidisciplinary, incorporating perspectives in Data-intensive computing, Scheduling and Utility computing.
Ioan Raicu usually deals with Grid computing and limits it to topics linked to Swift and Runtime system, Formal specification, File system and Pilot job.
His Many-task computing research includes elements of Leverage, Programming paradigm and Parallel computing.
His research in Cloud computing is mostly concerned with Cloud testing.
His biological study spans a wide range of topics, including End-user computing and Autonomic computing.
His most cited work include:
- Cloud Computing and Grid Computing 360-Degree Compared (2311 citations)
- The Globus Striped GridFTP Framework and Server (539 citations)
- Swift: Fast, Reliable, Loosely Coupled Parallel Computation (320 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Distributed computing, Scalability, Cloud computing, Operating system and Many-task computing.
Ioan Raicu has included themes like Supercomputer, Utility computing, Data-intensive computing, Grid computing and Scheduling in his Distributed computing study.
His research in Grid computing tackles topics such as Service which are related to areas like Component.
The various areas that Ioan Raicu examines in his Cloud computing study include Computer data storage, Data management and Data science.
His Operating system research is multidisciplinary, incorporating elements of GridFTP and Computer network.
His work in Many-task computing addresses subjects such as Parallel computing, which are connected to disciplines such as Overhead.
He most often published in these fields:
- Distributed computing (54.73%)
- Scalability (36.49%)
- Cloud computing (24.32%)
What were the highlights of his more recent work (between 2013-2019)?
- Distributed computing (54.73%)
- Scalability (36.49%)
- Cloud computing (24.32%)
In recent papers he was focusing on the following fields of study:
Ioan Raicu mainly investigates Distributed computing, Scalability, Cloud computing, Operating system and Big data.
His studies in Distributed computing integrate themes in fields like Message queue, Scheduling, Supercomputer and Fixed-priority pre-emptive scheduling.
His work deals with themes such as Parallel computing, Massively parallel, Server and Associative array, which intersect with Scalability.
Ioan Raicu studies Cloud computing, namely Utility computing.
As part of the same scientific family, Ioan Raicu usually focuses on Utility computing, concentrating on Cloud testing and intersecting with Scripting language and Swift.
His research investigates the link between Operating system and topics such as Distributed data store that cross with problems in Variety and Data redundancy.
Between 2013 and 2019, his most popular works were:
- Optimizing load balancing and data-locality with data-aware scheduling (105 citations)
- FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems (95 citations)
- Understanding the Performance and Potential of Cloud Computing for Scientific Applications (69 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
His primary scientific interests are in Distributed computing, Scalability, Scheduling, Cloud computing and Operating system.
Ioan Raicu has researched Scalability in several fields, including File system and Workflow.
His research investigates the connection between Scheduling and topics such as Workload that intersect with issues in Metadata management, Server and Leverage.
His research investigates the connection with Cloud computing and areas like Data science which intersect with concerns in Swift, Scripting language, Cloud testing and Utility computing.
His work in Operating system addresses issues such as Partition, which are connected to fields such as Scalable distributed.
His studies deal with areas such as Data-intensive computing, Queue and Load balancing as well as Fixed-priority pre-emptive scheduling.
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.
