What is she best known for?
The fields of study she is best known for:
- Operating system
- Programming language
- Computer network
Her main research concerns Operating system, File system, Embedded system, Parallel computing and Scheduling.
Her Operating system research incorporates themes from Exploit and Layer.
Her study in File system focuses on Self-certifying File System in particular.
Her research in Embedded system intersects with topics in Toolbox, Gray box testing and Source code.
Her Parallel computing research is multidisciplinary, incorporating perspectives in Job scheduler, Reliability engineering, Set and Distributed computing.
Her biological study spans a wide range of topics, including Versioning file system and Unix file types.
Her most cited work include:
- Antfarm: tracking processes in a virtual machine environment (278 citations)
- An analysis of data corruption in the storage stack (257 citations)
- IRON file systems (208 citations)
What are the main themes of her work throughout her whole career to date?
Andrea C. Arpaci-Dusseau mainly investigates Operating system, File system, Distributed computing, Embedded system and Self-certifying File System.
File system fragmentation, Device file, Scheduling, Cache and File Control Block are the core of her Operating system study.
Her File system research is multidisciplinary, relying on both ext4, Journaling file system, Block, Correctness and Stub file.
Andrea C. Arpaci-Dusseau has included themes like Data loss and Protocol in her Distributed computing study.
Andrea C. Arpaci-Dusseau has researched Embedded system in several fields, including Virtualization and Computer data storage.
Her Self-certifying File System study combines topics from a wide range of disciplines, such as Versioning file system and Unix file types.
She most often published in these fields:
- Operating system (44.81%)
- File system (36.07%)
- Distributed computing (27.87%)
What were the highlights of her more recent work (between 2015-2021)?
- Distributed computing (27.87%)
- Operating system (44.81%)
- Distributed data store (6.56%)
In recent papers she was focusing on the following fields of study:
Andrea C. Arpaci-Dusseau mainly focuses on Distributed computing, Operating system, Distributed data store, File system and Scheduling.
Her work deals with themes such as Cloud storage, Protocol and Computer data storage, which intersect with Distributed computing.
Her Distributed data store study also includes
- Data loss and related State, State space and Computer security,
- Converged storage and Systems design most often made with reference to Load balancing,
- Scalability which connect with Kernel and Parallel computing.
Her study connects Construct and File system.
Her Scheduling research integrates issues from ext4, Thread, Reliability engineering and Correctness.
Her Initialization research focuses on Latency and how it relates to Embedded system.
Between 2015 and 2021, her most popular works were:
- Serverless computation with openLambda (200 citations)
- WiscKey: Separating Keys from Values in SSD-Conscious Storage (96 citations)
- Slacker: fast distribution with lazy docker containers (81 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
Operating system, Data layout, Parallel computing, File system and Python are her primary areas of study.
When carried out as part of a general Operating system research project, her work on Software deployment is frequently linked to work in Start time, therefore connecting diverse disciplines of study.
Her studies in File system integrate themes in fields like ext4, Construct and Reliability engineering.
Her ext4 study which covers Crash that intersects with Scheduling, Computer security, State space and State.
Her Computer security study combines topics in areas such as Distributed computing, Distributed data store and Data loss.
Her biological study deals with issues like Scalability, which deal with fields such as Latency.
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