What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
His primary areas of investigation include Operating system, Virtual machine, Embedded system, Overhead and Intrusion detection system.
His biological study spans a wide range of topics, including Instruction stream and Honeypot.
His studies deal with areas such as Virtualization, Application software, Backup, Fault tolerance and Debugging as well as Virtual machine.
The Embedded system study combines topics in areas such as RAID, Non-standard RAID levels, Standard RAID levels and Disk array.
Peter M. Chen has included themes like Dependency graph, Information flow, Backtracking and Task in his Overhead study.
His Intrusion detection system research includes elements of Software, Dynamic program analysis, State and Nondeterministic algorithm.
His most cited work include:
- RAID: high-performance, reliable secondary storage (1179 citations)
- ReVirt: enabling intrusion analysis through virtual-machine logging and replay (1029 citations)
- When virtual is better than real [operating system relocation to virtual machines] (651 citations)
What are the main themes of his work throughout his whole career to date?
Peter M. Chen mainly investigates Operating system, Embedded system, Overhead, Virtual machine and Distributed computing.
His study in Self-certifying File System, File system, Speculative execution, RAID and Debugging falls under the purview of Operating system.
His Embedded system research is multidisciplinary, incorporating elements of Cache, Disk array, Cache pollution, Cache algorithms and Cache coloring.
His Overhead study incorporates themes from Process, State, Shared memory, Parallel computing and Information flow.
His Virtual machine research incorporates elements of Virtualization, Intrusion detection system, Embedded operating system and Dynamic program analysis.
The concepts of his Distributed computing study are interwoven with issues in Compiler, Thread, Persistence, Data structure and Rollback.
He most often published in these fields:
- Operating system (40.87%)
- Embedded system (20.00%)
- Overhead (16.52%)
What were the highlights of his more recent work (between 2016-2020)?
- Distributed computing (13.91%)
- Data structure (4.35%)
- Static analysis (3.48%)
In recent papers he was focusing on the following fields of study:
Distributed computing, Data structure, Static analysis, Cloud computing and Telecommunications are his primary areas of study.
His work deals with themes such as Security policy, Persistence and Atomicity, which intersect with Distributed computing.
The various areas that Peter M. Chen examines in his Persistence study include Synchronization, Semantics and Commit.
His Data structure research is multidisciplinary, relying on both Dram, Thread, Concurrency, Memory model and Instruction set.
His Static analysis study integrates concerns from other disciplines, such as Taint checking, Overhead, Memory safety and Rollback.
His Cloud computing research is multidisciplinary, incorporating perspectives in Data deduplication, Database, File system and Reliability.
Between 2016 and 2020, his most popular works were:
- Language-level persistency (55 citations)
- Persistency for synchronization-free regions (34 citations)
- Software Wear Management for Persistent Memories (17 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
His scientific interests lie mostly in Atomicity, Distributed computing, Software, Software engineering and Data structure.
His study in Atomicity is interdisciplinary in nature, drawing from both Persistence, Code, Semantics, Commit and Synchronization.
Distributed computing connects with themes related to State in his study.
His studies in Data structure integrate themes in fields like Compiler, Programmer, Memory model, 3D XPoint and Instruction set.
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