What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Database
Darrell D. E. Long mostly deals with Operating system, Computer network, Distributed computing, Database and Computer file.
Operating system is often connected to Embedded system in his work.
His Computer network research is multidisciplinary, incorporating perspectives in Web proxy and Real-time computing.
His Data consistency study in the realm of Distributed computing connects with subjects such as Voting.
His Database research integrates issues from Hash function, Metadata and Encryption.
Self-certifying File System is a subfield of File system that he studies.
His most cited work include:
- Ceph: a scalable, high-performance distributed file system (1218 citations)
- Extreme Binning: Scalable, parallel deduplication for chunk-based file backup (367 citations)
- Secure data deduplication (352 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Distributed computing, Operating system, Computer network, Database and File system.
His work on Fault tolerance as part of general Distributed computing study is frequently linked to Voting, Replica and Data objects, bridging the gap between disciplines.
His Computer file, Self-certifying File System, File system fragmentation, Server and Cache study are his primary interests in Operating system.
His biological study spans a wide range of topics, including Journaling file system, Device file and Torrent file.
His Computer network study combines topics in areas such as Computer security and Real-time computing.
As part of his studies on Database, Darrell D. E. Long often connects relevant subjects like Metadata.
He most often published in these fields:
- Distributed computing (20.91%)
- Operating system (17.11%)
- Computer network (16.73%)
What were the highlights of his more recent work (between 2010-2020)?
- Database (11.41%)
- Real-time computing (10.65%)
- Distributed computing (20.91%)
In recent papers he was focusing on the following fields of study:
Darrell D. E. Long spends much of his time researching Database, Real-time computing, Distributed computing, Disk array and Computer data storage.
His study in Database is interdisciplinary in nature, drawing from both Hash function, Metadata, Information repository and Sequence transformation.
His work carried out in the field of Distributed computing brings together such families of science as Encryption, Factorial number system, Algorithm, Bottleneck and Server.
Darrell D. E. Long works mostly in the field of Encryption, limiting it down to concerns involving Node and, occasionally, Self-certifying File System and File system.
His Disk array research includes themes of RAID, Reliability engineering, Reliability and Standard RAID levels.
His Scalability study deals with the bigger picture of Operating system.
Between 2010 and 2020, his most popular works were:
- Data Management and Layout for Shingled Magnetic Recording (62 citations)
- Design and evaluation of Oasis: An active storage framework based on T10 OSD standard (45 citations)
- A hybrid approach for efficient provenance storage (30 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Database
Darrell D. E. Long mainly investigates Database, Shingled magnetic recording, Computer data storage, Provenance and Data management.
The Database study combines topics in areas such as Data efficiency, Converged storage, Content-addressable storage and Storage area network.
His study looks at the intersection of Shingled magnetic recording and topics like Computer hardware with Fraction, Data access and Stability.
The various areas that Darrell D. E. Long examines in his Computer data storage study include Scalability, Cloud computing, Disk storage and Big data.
Scalability is a subfield of Operating system that Darrell D. E. Long explores.
His Operating system research is multidisciplinary, incorporating elements of Object and Cryptographic protocol.
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