What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Computer network
His main research concerns Operating system, File system, Self-certifying File System, Database and Computer file.
His Operating system study combines topics from a wide range of disciplines, such as Kernel and Component.
His Scalability research extends to the thematically linked field of File system.
The concepts of his Self-certifying File System study are interwoven with issues in Versioning file system and Embedded system.
His Database research integrates issues from Key, Set and Interfacing.
Erez Zadok usually deals with Stub file and limits it to topics linked to Device file and Layer.
His most cited work include:
- Toward cost-sensitive modeling for intrusion detection and response (261 citations)
- System and methods for detection of new malicious executables (252 citations)
- A nine year study of file system and storage benchmarking (178 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Operating system, File system, Embedded system, Self-certifying File System and Computer file.
Versioning file system, Virtual file system, Device file, Stub file and Scalability are the core of his Operating system study.
His research on File system also deals with topics like
- Database which connect with Set,
- Overhead that connect with fields like Linux kernel, Real-time computing and Distributed computing.
His studies deal with areas such as Software, Debugging, Profiling and Reliability engineering as well as Embedded system.
His research brings together the fields of File system fragmentation and Self-certifying File System.
His Computer file and Unix file types and File Control Block investigations all form part of his Computer file research activities.
He most often published in these fields:
- Operating system (44.30%)
- File system (32.21%)
- Embedded system (15.44%)
What were the highlights of his more recent work (between 2015-2021)?
- Operating system (44.30%)
- Computer data storage (8.72%)
- File system (32.21%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Operating system, Computer data storage, File system, Cloud computing and Data mining.
Operating system is a component of his POSIX, Torrent file, Everything is a file, Device file and Self-certifying File System studies.
As a member of one scientific family, Erez Zadok mostly works in the field of Computer data storage, focusing on Workload and, on occasion, Variation, Reliability engineering, Stack and Quality of service.
His File system study combines topics in areas such as Data deduplication and Stub file, Unix file types, File system fragmentation.
His Data deduplication research focuses on Hash function and how it connects with Overhead and Metadata.
His Cloud computing research is multidisciplinary, incorporating perspectives in Telecommunications, Scalability and Benchmark, Parallel computing.
Between 2015 and 2021, his most popular works were:
- Filebench: A Flexible Framework for File System Benchmarking. (72 citations)
- To FUSE or not to FUSE: performance of user-space file systems (54 citations)
- On the performance variation in modern storage stacks (27 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
Erez Zadok focuses on Operating system, File system, Benchmarking, Metadata and Database.
Erez Zadok conducts interdisciplinary study in the fields of Operating system and Context through his research.
His research integrates issues of Unix file types, Overhead, Interface, Instruction prefetch and Hash function in his study of File system.
His Benchmarking research covers fields of interest such as Variation, Workload, Reliability engineering, Stack and Quality of service.
His Metadata research incorporates themes from Scalability, Cloud storage, Cloud computing and High availability, Computer network.
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.
