What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Computer network
Giuseppe Lipari mainly investigates Scheduling, Distributed computing, Real-time computing, Fixed-priority pre-emptive scheduling and Quality of service.
His specific area of interest is Scheduling, where he studies Processor scheduling.
The concepts of his Distributed computing study are interwoven with issues in Earliest deadline first scheduling, Real-time operating system, Server and Reservation.
His Real-time computing research includes themes of Algorithm and Schedule.
His Quality of service research is multidisciplinary, incorporating elements of Adaptive control and Linux kernel.
His work deals with themes such as Multiprocessor scheduling and Embedded system, which intersect with Multiprocessing.
His most cited work include:
- Elastic task model for adaptive rate control (248 citations)
- Resource partitioning among real-time applications (226 citations)
- Elastic scheduling for flexible workload management (218 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Distributed computing, Scheduling, Real-time computing, Embedded system and Quality of service.
His Distributed computing research also works with subjects such as
- Dynamic priority scheduling which connect with Fair-share scheduling,
- Fixed-priority pre-emptive scheduling, which have a strong connection to Least slack time scheduling.
Giuseppe Lipari has included themes like Multiprocessing, Parallel computing, Preemption and Reservation in his Scheduling study.
Giuseppe Lipari combines subjects such as Shared resource and Bandwidth with his study of Multiprocessing.
His Real-time computing study integrates concerns from other disciplines, such as Thread, Set, Asynchronous communication and Algorithm, Computation.
The Embedded system study combines topics in areas such as Software architecture and Software.
He most often published in these fields:
- Distributed computing (55.79%)
- Scheduling (46.32%)
- Real-time computing (24.21%)
What were the highlights of his more recent work (between 2014-2020)?
- Distributed computing (55.79%)
- Scheduling (46.32%)
- Parallel computing (13.68%)
In recent papers he was focusing on the following fields of study:
Distributed computing, Scheduling, Parallel computing, Heuristics and Task are his primary areas of study.
His Distributed computing research incorporates themes from Multiprocessing, Resource, Directed acyclic graph, Fair-share scheduling and User experience design.
His study explores the link between Multiprocessing and topics such as Processor scheduling that cross with problems in Workload and Linux kernel.
His work on Earliest deadline first scheduling is typically connected to Edge computing as part of general Scheduling study, connecting several disciplines of science.
His Parallel computing study combines topics from a wide range of disciplines, such as Correctness, Static analysis and Compiler.
His Robustness research is multidisciplinary, incorporating perspectives in Control system, Quality of service, Real-time computing and Reservation.
Between 2014 and 2020, his most popular works were:
- Energy-efficient scheduling for moldable real-time tasks on heterogeneous computing platforms (38 citations)
- Response Time Analysis with Limited Carry-In for Global Earliest Deadline First Scheduling (11 citations)
- Verification of Two Real-Time Systems Using Parametric Timed Automata (10 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
Giuseppe Lipari mostly deals with Scheduling, Distributed computing, Parallel computing, Task and Heuristics.
The Earliest deadline first scheduling research Giuseppe Lipari does as part of his general Scheduling study is frequently linked to other disciplines of science, such as Edge computing, therefore creating a link between diverse domains of science.
Giuseppe Lipari interconnects Fixed-priority pre-emptive scheduling and Two-level scheduling in the investigation of issues within Earliest deadline first scheduling.
He has researched Distributed computing in several fields, including Optimization problem, Frequency scaling, Linux kernel and Fair-share scheduling.
His Heuristics study which covers Digraph that intersects with Set.
His Multiprocessing research is multidisciplinary, relying on both Resource and Task.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
