2018 - IEEE Fellow For contributions to the theory and applications of hard real-time multicore computing
Marco Caccamo mostly deals with Embedded system, Distributed computing, Scheduling, Cache and Operating system. Marco Caccamo combines subjects such as Isolation and Set with his study of Embedded system. His Distributed computing research includes elements of Key distribution in wireless sensor networks, Earliest deadline first scheduling, Rate-monotonic scheduling, Dynamic priority scheduling and Computer network.
His biological study spans a wide range of topics, including Scheduling theory, Key, Deadline-monotonic scheduling and Operations research. His work carried out in the field of Scheduling brings together such families of science as Automatic control, Computation, Adaptive control and Workload management. When carried out as part of a general Operating system research project, his work on Coscheduling, Executable and Shared resource is frequently linked to work in Upper and lower bounds, therefore connecting diverse disciplines of study.
His primary scientific interests are in Distributed computing, Embedded system, Scheduling, Real-time computing and Multi-core processor. His Distributed computing research is multidisciplinary, incorporating perspectives in Earliest deadline first scheduling, Computer network, Cyber-physical system and Parallel computing. Marco Caccamo has included themes like Software, Operating system, Task and Cache in his Embedded system study.
His Scheduling research incorporates themes from Exploit, Quality of service, Real-time Control System and Computation. His Real-time computing study combines topics in areas such as Radar, Fixed-priority pre-emptive scheduling and Reinforcement learning. His studies in Multi-core processor integrate themes in fields like Single-core, Shared resource and Shared memory.
The scientist’s investigation covers issues in Distributed computing, Reinforcement learning, Motion planning, Real-time computing and Embedded system. Marco Caccamo conducts interdisciplinary study in the fields of Distributed computing and Reaction timing through his works. His work deals with themes such as Network architecture and Control, which intersect with Reinforcement learning.
His study in Real-time computing is interdisciplinary in nature, drawing from both Range, Mobile agent and Leverage. His work in the fields of Embedded system, such as Real-time operating system, overlaps with other areas such as Hypervisor. The Worst-case execution time study combines topics in areas such as Cache hierarchy, Multi-core processor, Shared memory and Cache.
His primary areas of investigation include Motion planning, Reinforcement learning, Real-time computing, Distributed computing and Leverage. Marco Caccamo integrates several fields in his works, including Motion planning, Network architecture, Partially observable Markov decision process and Collision avoidance. His research links Telecommunications network with Network architecture.
With his scientific publications, his incorporates both Distributed computing and Drone. His Leverage research includes themes of Transfer of learning and Mobile agent. His research on Transfer of learning often connects related topics like Trajectory.
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.
Real Time Scheduling Theory: A Historical Perspective
Lui Sha;Tarek Abdelzaher;Karl-Erik Årzén;Anton Cervin.
Real-time Systems (2004)
An implicit prioritized access protocol for wireless sensor networks
M. Caccamo;L.Y. Zhang;Lui Sha;G. Buttazzo.
real time systems symposium (2002)
Elastic scheduling for flexible workload management
G.C. Buttazzo;G. Lipari;M. Caccamo;L. Abeni.
IEEE Transactions on Computers (2002)
MemGuard: Memory bandwidth reservation system for efficient performance isolation in multi-core platforms
Heechul Yun;Gang Yao;R. Pellizzoni;M. Caccamo.
real time technology and applications symposium (2013)
A Predictable Execution Model for COTS-Based Embedded Systems
Rodolfo Pellizzoni;Emiliano Betti;Stanley Bak;Gang Yao.
real time technology and applications symposium (2011)
Real-time cache management framework for multi-core architectures
R. Mancuso;R. Dudko;E. Betti;M. Cesati.
real time technology and applications symposium (2013)
Worst case delay analysis for memory interference in multicore systems
Rodolfo Pellizzoni;Andreas Schranzhofer;Jian-Jia Chen;Marco Caccamo.
design, automation, and test in europe (2010)
Memory Access Control in Multiprocessor for Real-Time Systems with Mixed Criticality
Heechul Yun;Gang Yao;Rodolfo Pellizzoni;Marco Caccamo.
euromicro conference on real-time systems (2012)
Capacity sharing for overrun control
M. Caccamo;G. Buttazzo;Lui Sha.
real-time systems symposium (2000)
Impact of Cache Partitioning on Multi-tasking Real Time Embedded Systems
B.D. Bui;M. Caccamo;Lui Sha;J. Martinez.
embedded and real-time computing systems and applications (2008)
Profile was last updated on December 6th, 2021.
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