What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Central processing unit
His scientific interests lie mostly in Scheduling, Multiprocessing, Embedded system, Parallel computing and Real-time computing.
His work on Dynamic voltage scaling, Energy efficient scheduling and Processor scheduling as part of general Scheduling research is often related to Leakage, thus linking different fields of science.
His Multiprocessing research is multidisciplinary, incorporating perspectives in Arbiter, Shared resource, System on a chip and Approximation algorithm.
His Embedded system study integrates concerns from other disciplines, such as Multicore systems, Multi-core processor and Energy harvesting.
His work in Parallel computing addresses issues such as Multiprocessor scheduling, which are connected to fields such as Earliest deadline first scheduling and Fixed-priority pre-emptive scheduling.
His Real-time computing research is multidisciplinary, incorporating elements of Power management, Dynamic power management, Burstiness and Online algorithm.
His most cited work include:
- Energy-Efficient Scheduling for Real-Time Systems on Dynamic Voltage Scaling (DVS) Platforms (174 citations)
- Leakage-Aware Energy-Efficient Scheduling of Real-Time Tasks in Multiprocessor Systems (133 citations)
- Worst case delay analysis for memory interference in multicore systems (131 citations)
What are the main themes of his work throughout his whole career to date?
Jian-Jia Chen mostly deals with Scheduling, Distributed computing, Embedded system, Parallel computing and Multiprocessing.
His work deals with themes such as Real-time computing, Mathematical optimization and Speedup, which intersect with Scheduling.
His work in Distributed computing tackles topics such as Task which are related to areas like Resource.
His work focuses on many connections between Embedded system and other disciplines, such as Multi-core processor, that overlap with his field of interest in Frequency scaling.
His work carried out in the field of Parallel computing brings together such families of science as Approximation algorithm, Multiprocessor scheduling, Earliest deadline first scheduling, Dynamic priority scheduling and Fixed-priority pre-emptive scheduling.
The various areas that Jian-Jia Chen examines in his Multiprocessing study include Processor scheduling, Computational complexity theory, Correctness, Task analysis and Partition.
He most often published in these fields:
- Scheduling (42.50%)
- Distributed computing (31.07%)
- Embedded system (22.14%)
What were the highlights of his more recent work (between 2017-2021)?
- Scheduling (42.50%)
- Multiprocessing (17.14%)
- Distributed computing (31.07%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Scheduling, Multiprocessing, Distributed computing, Embedded system and Computation.
His research integrates issues of Task analysis, Mathematical optimization and Speedup, Parallel computing in his study of Scheduling.
His studies in Parallel computing integrate themes in fields like Earliest deadline first scheduling, Task, Dynamic priority scheduling and Counterexample.
His Multiprocessing study combines topics in areas such as Computational complexity theory and Semaphore.
The study incorporates disciplines such as Shared resource, Server, Partition and Software deployment in addition to Distributed computing.
The Embedded system study combines topics in areas such as Dram, Overhead and Software generation.
Between 2017 and 2021, his most popular works were:
- Many suspensions, many problems: a review of self-suspending tasks in real-time systems (50 citations)
- Errata for Three Papers (2004-05) on Fixed-Priority Scheduling with Self-Suspensions (18 citations)
- Reservation-Based Federated Scheduling for Parallel Real-Time Tasks (14 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Central processing unit
His main research concerns Scheduling, Distributed computing, Multiprocessing, Task analysis and Uniprocessor system.
His Scheduling study combines topics from a wide range of disciplines, such as Shared resource, Multi-core processor and Speedup.
Jian-Jia Chen combines subjects such as Dynamic priority scheduling and Fixed-priority pre-emptive scheduling with his study of Speedup.
His Distributed computing research includes themes of Metrical task system, Server, Rendering and Preemption.
His research investigates the connection between Multiprocessing and topics such as Computational complexity theory that intersect with issues in Time synchronization.
Jian-Jia Chen has researched Uniprocessor system in several fields, including Earliest deadline first scheduling, Rate-monotonic scheduling, Deadline-monotonic scheduling and Mathematical optimization.
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