What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Central processing unit
Frank Eliot Levine mainly investigates Real-time computing, Computer hardware, Data processing system, Thread and Event.
In his study, Process identifier is inextricably linked to Call stack, which falls within the broad field of Real-time computing.
Many of his studies on Computer hardware apply to Computer program as well.
Operating system covers Frank Eliot Levine research in Data processing system.
His Thread research is multidisciplinary, incorporating elements of Tree structure and Data mining.
The various areas that Frank Eliot Levine examines in his Event study include Tree, Node and Set.
His most cited work include:
- ARIES/IM: an efficient and high concurrency index management method using write-ahead logging (230 citations)
- Method and system for shadow heap memory leak detection and other heap analysis in an object-oriented environment during real-time trace processing (218 citations)
- Apparatus and method for dynamic instrumenting of code to minimize system perturbation (166 citations)
What are the main themes of his work throughout his whole career to date?
Frank Eliot Levine focuses on Computer hardware, Real-time computing, Data processing system, Operating system and Computer program.
Frank Eliot Levine works mostly in the field of Computer hardware, limiting it down to topics relating to Code and, in certain cases, Data structure.
Frank Eliot Levine combines subjects such as Event, Profiling and Call stack with his study of Real-time computing.
The concepts of his Data processing system study are interwoven with issues in Set and Microarchitecture, Parallel computing.
His work in Operating system covers topics such as Embedded system which are related to areas like Software.
His Computer program research focuses on Database and how it connects with Resolution.
He most often published in these fields:
- Computer hardware (34.73%)
- Real-time computing (32.64%)
- Data processing system (25.10%)
What were the highlights of his more recent work (between 2007-2014)?
- Operating system (22.59%)
- Thread (15.90%)
- Call stack (10.88%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Operating system, Thread, Call stack, Computer hardware and Real-time computing.
His study focuses on the intersection of Operating system and fields such as Embedded system with connections in the field of Thread safety.
His studies in Thread integrate themes in fields like Software and Idle.
His Call stack study integrates concerns from other disciplines, such as Sampling and Scalable system.
His work in the fields of Data processing system, Program code and Instructions per cycle overlaps with other areas such as USable.
In his research on the topic of Real-time computing, Object-oriented design, Object Linking and Embedding and Ephemeron is strongly related with Portable object.
Between 2007 and 2014, his most popular works were:
- Method and apparatus for analyzing idle states in a data processing system (44 citations)
- Call Stack Sampling for a Multi-Processor System (36 citations)
- Call Stack Sampling for Threads Having Latencies Exceeding a Threshold (34 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Central processing unit
His primary areas of investigation include Thread, Call stack, Real-time computing, Operating system and Data processing system.
His research in Thread tackles topics such as Parallel computing which are related to areas like Win32 Thread Information Block.
His Real-time computing study incorporates themes from Object Linking and Embedding, Distributed object, Object pool pattern, Object-oriented design and Software.
Frank Eliot Levine frequently studies issues relating to Code and Operating system.
His Data processing system study is related to the wider topic of Computer hardware.
As a part of the same scientific family, Frank Eliot Levine mostly works in the field of Computer hardware, focusing on Data collection and, on occasion, Computer program.
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