What is he best known for?
The fields of study he is best known for:
- Programming language
- Software
- Algorithm
Zebo Peng spends much of his time researching Embedded system, Scheduling, Distributed computing, System on a chip and Heuristics.
His Static timing analysis study in the realm of Embedded system interacts with subjects such as Predictability.
His Scheduling course of study focuses on Message passing and Safety critical application.
His work deals with themes such as Time-Triggered Protocol and Time division multiple access, which intersect with Distributed computing.
His work carried out in the field of System on a chip brings together such families of science as Test Management Approach, Reliability engineering, Real-time computing and Power budget.
His Heuristics research incorporates themes from Fault tolerance and Software.
His most cited work include:
- System Level Hardware/Software Partitioning Based on Simulated Annealing and Tabu Search (254 citations)
- Timing analysis of the FlexRay communication protocol (159 citations)
- Bus Access Optimization for Predictable Implementation of Real-Time Applications on Multiprocessor Systems-on-Chip (149 citations)
What are the main themes of his work throughout his whole career to date?
Zebo Peng focuses on Embedded system, Scheduling, Distributed computing, Real-time computing and System on a chip.
His Embedded system study incorporates themes from Information and Computer Science, Petri net, Communications protocol, Heuristics and Software.
Zebo Peng usually deals with Scheduling and limits it to topics linked to Control system and Quality control.
The various areas that Zebo Peng examines in his Distributed computing study include Implementation, Dynamic priority scheduling and Fair-share scheduling.
The concepts of his System on a chip study are interwoven with issues in Test data, Electronic engineering and Test compression, Automatic test pattern generation.
His studies deal with areas such as Algorithm, Reliability engineering, Built-in self-test and Test set as well as Automatic test pattern generation.
He most often published in these fields:
- Embedded system (33.33%)
- Scheduling (22.83%)
- Distributed computing (22.31%)
What were the highlights of his more recent work (between 2011-2020)?
- Embedded system (33.33%)
- Distributed computing (22.31%)
- Scheduling (22.83%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Embedded system, Distributed computing, Scheduling, Parallel computing and Real-time computing.
His research in Embedded system intersects with topics in Software, Efficient energy use and Control reconfiguration.
His Software research is multidisciplinary, incorporating elements of Model checking and Out-of-order execution.
The study incorporates disciplines such as Cryptography, Information and Computer Science, Correctness, Jitter and Resource in addition to Distributed computing.
In general Scheduling, his work in Test scheduling is often linked to Schedule linking many areas of study.
His Parallel computing research includes themes of Linear programming and Integer.
Between 2011 and 2020, his most popular works were:
- Steady-state dynamic temperature analysis and reliability optimization for embedded multiprocessor systems (42 citations)
- General purpose computing on low-power embedded GPUs: Has it come of age? (41 citations)
- Schedulability analysis of Ethernet AVB switches (32 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Algorithm
Zebo Peng mainly investigates Embedded system, Scheduling, Distributed computing, Jitter and Real-time computing.
Zebo Peng combines subjects such as Variable, Quality of service, Task, Encryption and Software with his study of Embedded system.
His Earliest deadline first scheduling study, which is part of a larger body of work in Scheduling, is frequently linked to Schedule and FlexRay, bridging the gap between disciplines.
His Distributed computing research is multidisciplinary, relying on both Optimization problem and Cryptography.
The concepts of his Jitter study are interwoven with issues in Control system, Resource and Server.
In his work, Automatic test pattern generation, Range, Test compression, Greedy algorithm and Reliability is strongly intertwined with Computer engineering, which is a subfield of Real-time computing.
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