Demo Data from EDBT 2026 / reviewers in the wild / expert
Manuel Muñoz Alcobendas
dblp:146/2108
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% | |
| Computer networks
1 paper |
Edge and fog computing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Edge and fog computing › pervasive computing
context-aware adaptation |
0.2 | 1 | 2015 | Poster: Context-aware Adaptation Mechanism for Smart Resources · SenSys 2015 |
Embedded and real-time systems › industrial control systems
distributed control systems |
0.2 | 1 | 2015 | Poster: Context-aware Adaptation Mechanism for Smart Resources · SenSys 2015 |
Methods — techniques the papers use, named apart from their topics
self-aware adaptation · 0.4RGBD sensor · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | XANDAR: An X-by-Construction Framework for Safety, Security, and Real-Time Behavior of Embedded Software SystemsabstractThe safe and secure implementation of increasingly complex features is a major challenge in the development of autonomous and distributed embedded systems. Automated design-time procedures that guarantee the fulfillment of critical system properties are a promising approach to tackle this challenge. In the European project XANDAR, which took place from 2021 to 2023, eight partners developed an X-by-Construction (XbC) design framework to support developers in the creation of embedded software systems with certain safety, security, and real-time properties. The design framework combines a model-based toolchain with a hypervisor-based runtime architecture. It targets modern high-performance hardware, facilitates the integration of machine learning applications, and employs a library of trusted safety and security patterns to reduce the implementation and verification effort. This paper describes the concepts developed during the project, the prototypical implementation of the design framework, and its application in both an automotive and an avionics use case. Tobias Dörr, Florian Schade, Jürgen Becker 0001, Georgios Keramidas, Nikos Petrellis, Vasilios I. Kelefouras, Michail Mavropoulos, Konstantinos Antonopoulos, Christos P. Antonopoulos, Nikos S. Voros, Alexander Ahlbrecht, Wanja Zaeske, Vincent Janson, Phillip Nöldeke, Umut Durak, Christos Panagiotou, Dimitris Karadimas, Nico Adler, Clemens Reichmann, Andreas Sailer, Raphael Weber, Thomas Wilhelm 0005, Wolfgang Gabler, Katrin Weiden, Xavier Anzuela Recasens, Sakir Sezer, Fahad Siddiqui 0001, Rafiullah Khan, Kieran McLaughlin, Sena Yengec Tasdemir, Balmukund Sonigara, Henry Hui, Esther Soriano Viguer, Aridane Álvarez Suárez, Vicente Nicolau Gallego, Manuel Muñoz Alcobendas, Miguel Masmano Tello |
DATE | 36 |
| 2015 | Poster: Context-aware Adaptation Mechanism for Smart ResourcesabstractIn Distributed Control Systems (DCS) the distribution of sensor data needs to be optimized in order to reduce the client process redundancy, i.e.: same sensor data processing in different clients. This paper presents an implementation of Embedded Networked Sensors as Smart Resources that allows to access to high-level information abstracting the user from low level mechanisms. The distributed services provided by Smart Resources implement self-aware adaptation mechanisms in order to suit the performance to the context. Information integrity must be also ensured during this adaptation. The Smart Resource implementation is based on a RGBD sensor. Through a set of experiments is evaluated the performance of the reconfiguration and adaptation mechanisms and detailed the influence of the data integrity according to the provided service. Eduardo Munera Sánchez, Jose-Luis Poza-Luján, Juan-Luis Posadas-Yagüe, Manuel Muñoz Alcobendas, Francisco Blanes |
SenSys | 4 |