Probabilistic timing analysis on time-randomized platforms for the space domain

Autor: Mikel Fernandez, Carles Hernandez, Paulo Machado, Ian Broster, Jaume Abella, David Corrales Morales, Leonidas Kosmidis, Eduardo Quinones, Francisco J. Cazorla, Luca Fossati, Alen Bardizbanyan
Přispěvatelé: Barcelona Supercomputing Center
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
DATE
Popis: Timing Verification is a fundamental step in real-time embedded systems, with measurement-based timing analysis (MBTA) being the most common approach used to that end. We present a Space case study on a real platform that has been modified to support a probabilistic variant of MBTA called MBPTA. Our platform provides the properties required by MBPTA with the predicted WCET estimates with MBPTA being competitive to those with current MBTA practice while providing more solid evidence on their correctness for certification. The research leading to these results has received funding from the European Community’s FP7 [FP7/2007-2013] under the PROXIMA Project (www.proxima-project.eu), grant agreement no 611085. This work has also been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2015-65316-P and the HiPEAC Network of Excellence. Jaume Abella has been partially supported by the Ministry of Economy and Competitiveness under Ramon y Cajal postdoctoral fellowship number RYC-2013-14717. Carles Hernandez is jointly funded by the Spanish Ministry of Economy and Competitiveness and FEDER funds through grant TIN2014-60404-JIN.
Databáze: OpenAIRE