What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Programming language
Jonathan Walpole spends much of his time researching Computer network, The Internet, Distributed computing, Embedded system and Operating system.
Jonathan Walpole studied Computer network and Computer security that intersect with Host, Stack buffer overflow and Buffer overflow protection.
His The Internet research is multidisciplinary, incorporating elements of Multimedia and Video streaming.
His biological study spans a wide range of topics, including Multiprocessing, Scheduling, Real-time computing and Priority inversion.
He has researched Embedded system in several fields, including Read-copy-update, Data structure, Software engineering and Concurrency.
In the field of Operating system, his study on Scalability, Synchronization, Application software and Linux os overlaps with subjects such as Timer.
His most cited work include:
- StackGuard: automatic adaptive detection and prevention of buffer-overflow attacks (1161 citations)
- A feedback-driven proportion allocator for real-rate scheduling (333 citations)
- Buffer overflows: attacks and defenses for the vulnerability of the decade (309 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Distributed computing, Operating system, Computer network, Multimedia and Quality of service.
His Distributed computing research is multidisciplinary, incorporating perspectives in Real-time computing, Scheduling, Software and Adaptive system.
His Operating system study integrates concerns from other disciplines, such as Computer architecture and Embedded system.
His Computer network research includes elements of Computer security and The Internet.
His work deals with themes such as Data independence, Bandwidth and Presentation, which intersect with Multimedia.
His research in Quality of service tackles topics such as Information flow which are related to areas like Process and Pipeline.
He most often published in these fields:
- Distributed computing (28.89%)
- Operating system (18.89%)
- Computer network (16.11%)
What were the highlights of his more recent work (between 2004-2020)?
- Synchronization (10.00%)
- Relativistic programming (7.22%)
- Parallel computing (6.67%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Synchronization, Relativistic programming, Parallel computing, Theoretical computer science and Scalability.
His studies in Synchronization integrate themes in fields like Blocking, Overhead, Embedded system and Data structure.
Jonathan Walpole combines subjects such as Multiprocessing, Operating system and Applications architecture with his study of Embedded system.
Jonathan Walpole has included themes like Transactional memory and Programming paradigm in his Relativistic programming study.
He performs integrative study on Hazard pointer and Distributed computing in his works.
His study focuses on the intersection of Distributed computing and fields such as Computer network with connections in the field of Software engineering, Smalltalk and Code reuse.
Between 2004 and 2020, his most popular works were:
- A traffic characterization of popular on-line games (160 citations)
- Performance of memory reclamation for lockless synchronization (134 citations)
- User-Level Implementations of Read-Copy Update (134 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
Jonathan Walpole mostly deals with Embedded system, Read-copy-update, Operating system, Distributed computing and Data structure.
His Embedded system research focuses on Multiprocessing and how it connects with Blocking, Preemption, Pointer and Side effect.
His research brings together the fields of Set and Operating system.
His Distributed computing study frequently intersects with other fields, such as Kernel.
His work in Data structure tackles topics such as Concurrency which are related to areas like Priority inversion, Deadlock, Applications architecture and Thread.
His Scalability study combines topics in areas such as Synchronization, Real-time computing, Instruction set and Code.
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