2018 - IEEE Fellow For contributions to reservation-based real-time scheduling
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 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
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.
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.
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.
Elastic scheduling for flexible workload management
G.C. Buttazzo;G. Lipari;M. Caccamo;L. Abeni.
Elastic task model for adaptive rate control
G.C. Buttazzo;G. Lipari;L. Abeni.
Resource partitioning among real-time applications
G. Lipari;E. Bini.
Minimizing memory utilization of real-time task sets in single and multi-processor systems-on-a-chip
P. Gai;G. Lipari;M. Di Natale.
Improved schedulability analysis of EDF on multiprocessor platforms
M. Bertogna;M. Cirinei;G. Lipari.
Schedulability Analysis of Global Scheduling Algorithms on Multiprocessor Platforms
M. Bertogna;M. Cirinei;G. Lipari.
A Real-Time Service-Oriented Architecture for Industrial Automation
T. Cucinotta;A. Mancina;G.F. Anastasi;G. Lipari.
Analysis of a reservation-based feedback scheduler
L. Abeni;L. Palopoli;G. Lipari;J. Walpole.
A methodology for designing hierarchical scheduling systems
Giuseppe Lipari;Enrico Bini.
Greedy reclamation of unused bandwidth in constant-bandwidth servers
G. Lipari;S. Baruah.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: