What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Database
Garth A. Gibson focuses on Disk array, RAID, Computer hardware, Embedded system and Operating system.
His Disk array research incorporates themes from Workload, Supercomputer, Parallel computing and Disk mirroring.
Garth A. Gibson combines subjects such as Disk array controller and Bandwidth with his study of Disk mirroring.
Particularly relevant to Standard RAID levels is his body of work in RAID.
The Computer hardware study combines topics in areas such as Redundancy and Computer engineering.
Garth A. Gibson works mostly in the field of Embedded system, limiting it down to topics relating to Central processing unit and, in certain cases, Database server, Multimedia and Bottleneck, as a part of the same area of interest.
His most cited work include:
- A case for redundant arrays of inexpensive disks (RAID) (2948 citations)
- RAID: high-performance, reliable secondary storage (1179 citations)
- Disk failures in the real world: what does an MTTF of 1,000,000 hours mean to you? (796 citations)
What are the main themes of his work throughout his whole career to date?
Garth A. Gibson mainly focuses on Operating system, File system, Disk array, Distributed computing and Embedded system.
His study in File system is interdisciplinary in nature, drawing from both Metadata, File server, Computer network, Server and Device file.
His Disk array research is multidisciplinary, incorporating elements of Redundancy, RAID, Disk mirroring and Parallel computing.
His work on Standard RAID levels, Disk array controller, Disk Data Format and Non-standard RAID levels as part of general RAID research is frequently linked to Rapid prototyping, bridging the gap between disciplines.
His work carried out in the field of Distributed computing brings together such families of science as Scheduling and Information repository.
His research on Embedded system frequently connects to adjacent areas such as Central processing unit.
He most often published in these fields:
- Operating system (33.47%)
- File system (18.15%)
- Disk array (16.13%)
What were the highlights of his more recent work (between 2011-2020)?
- Operating system (33.47%)
- File system (18.15%)
- Distributed computing (15.32%)
In recent papers he was focusing on the following fields of study:
Garth A. Gibson mostly deals with Operating system, File system, Distributed computing, Parallel computing and Speedup.
Garth A. Gibson has researched File system in several fields, including File server, Metadata and Benchmark.
His studies in Distributed computing integrate themes in fields like Model checking, Consistency model, Analytics and Implementation.
The study incorporates disciplines such as Thread, Predictability, Model of computation, Computation and Pattern detection in addition to Parallel computing.
His Virtual file system research integrates issues from Memory-mapped file and Embedded system.
His Big data study incorporates themes from Topic model, RAID, Network-attached storage and Distributed File System.
Between 2011 and 2020, his most popular works were:
- More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server (396 citations)
- Exploiting bounded staleness to speed up big data analytics (109 citations)
- Managed communication and consistency for fast data-parallel iterative analytics (89 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Database
Parallel computing, Distributed computing, File system, Thread and Cache are his primary areas of study.
His Parallel computing study also includes
- Model of computation together with Data mining and Interface,
- Correctness which is related to area like Systems design.
The various areas that Garth A. Gibson examines in his Distributed computing study include Algorithm, Consistency model and Implementation.
His File system research is within the category of Operating system.
His Thread research is multidisciplinary, incorporating perspectives in Bulk synchronous parallel, Jitter and Robustness.
As a part of the same scientific study, Garth A. Gibson usually deals with the Cache, concentrating on Speedup and frequently concerns with Metadata management, Computer engineering and Graph.
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