H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 43 Citations 6,760 133 World Ranking 3955 National Ranking 185

Research.com Recognitions

Awards & Achievements

2018 - IEEE Fellow For contributions to the theory and applications of hard real-time multicore computing

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Software

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 most cited work include:

  • Real Time Scheduling Theory: A Historical Perspective (515 citations)
  • An implicit prioritized access protocol for wireless sensor networks (273 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 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.

He most often published in these fields:

  • Distributed computing (33.53%)
  • Embedded system (28.24%)
  • Scheduling (25.29%)

What were the highlights of his more recent work (between 2018-2021)?

  • Distributed computing (33.53%)
  • Reinforcement learning (4.71%)
  • Motion planning (5.29%)

In recent papers he was focusing on the following fields of study:

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.

Between 2018 and 2021, his most popular works were:

  • Preserving Physical Safety Under Cyber Attacks (14 citations)
  • Electric Propulsion System Optimization for Long-Endurance and Solar-Powered Unmanned Aircraft (9 citations)
  • UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning (8 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • Software

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.

Top Publications

Real Time Scheduling Theory: A Historical Perspective

Lui Sha;Tarek Abdelzaher;Karl-Erik Årzén;Anton Cervin.
Real-time Systems (2004)

777 Citations

An implicit prioritized access protocol for wireless sensor networks

M. Caccamo;L.Y. Zhang;Lui Sha;G. Buttazzo.
real time systems symposium (2002)

406 Citations

Elastic scheduling for flexible workload management

G.C. Buttazzo;G. Lipari;M. Caccamo;L. Abeni.
IEEE Transactions on Computers (2002)

383 Citations

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)

296 Citations

A Predictable Execution Model for COTS-Based Embedded Systems

Rodolfo Pellizzoni;Emiliano Betti;Stanley Bak;Gang Yao.
real time technology and applications symposium (2011)

256 Citations

Real-time cache management framework for multi-core architectures

R. Mancuso;R. Dudko;E. Betti;M. Cesati.
real time technology and applications symposium (2013)

221 Citations

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)

213 Citations

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)

163 Citations

Capacity sharing for overrun control

M. Caccamo;G. Buttazzo;Lui Sha.
real-time systems symposium (2000)

162 Citations

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)

141 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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