Auswahl der wissenschaftlichen Literatur zum Thema „Probabilistic execution time“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Probabilistic execution time" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Probabilistic execution time"
Tongsima, S., E. H. M. Sha, C. Chantrapornchai, D. R. Surma und N. L. Passos. „Probabilistic loop scheduling for applications with uncertain execution time“. IEEE Transactions on Computers 49, Nr. 1 (2000): 65–80. http://dx.doi.org/10.1109/12.822565.
Der volle Inhalt der QuelleDraskovic, Stefan, Rehan Ahmed, Pengcheng Huang und Lothar Thiele. „Schedulability of probabilistic mixed-criticality systems“. Real-Time Systems 57, Nr. 4 (21.02.2021): 397–442. http://dx.doi.org/10.1007/s11241-021-09365-4.
Der volle Inhalt der QuelleSantos, R., J. Santos und J. Orozco. „Hard Real-Time Systems with Stochastic Execution Times: Deterministic and Probabilistic Guarantees“. International Journal of Computers and Applications 27, Nr. 2 (Januar 2005): 57–62. http://dx.doi.org/10.1080/1206212x.2005.11441758.
Der volle Inhalt der QuelleJimenez Gil, Samuel, Iain Bate, George Lima, Luca Santinelli, Adriana Gogonel und Liliana Cucu-Grosjean. „Open Challenges for Probabilistic Measurement-Based Worst-Case Execution Time“. IEEE Embedded Systems Letters 9, Nr. 3 (September 2017): 69–72. http://dx.doi.org/10.1109/les.2017.2712858.
Der volle Inhalt der QuelleXiao, Peng, Dongbo Liu und Kaijian Liang. „Improving scheduling efficiency by probabilistic execution time model in cloud environments“. International Journal of Networking and Virtual Organisations 18, Nr. 4 (2018): 307. http://dx.doi.org/10.1504/ijnvo.2018.093651.
Der volle Inhalt der QuelleXiao, Peng, Dongbo Liu und Kaijian Liang. „Improving scheduling efficiency by probabilistic execution time model in cloud environments“. International Journal of Networking and Virtual Organisations 18, Nr. 4 (2018): 307. http://dx.doi.org/10.1504/ijnvo.2018.10014681.
Der volle Inhalt der QuelleRen, Jiankang, Zichuan Xu, Chao Yu, Chi Lin, Guowei Wu und Guozhen Tan. „Execution allowance based fixed priority scheduling for probabilistic real-time systems“. Journal of Systems and Software 152 (Juni 2019): 120–33. http://dx.doi.org/10.1016/j.jss.2019.03.001.
Der volle Inhalt der QuelleLacerda, Bruno, David Parker und Nick Hawes. „Multi-Objective Policy Generation for Mobile Robots under Probabilistic Time-Bounded Guarantees“. Proceedings of the International Conference on Automated Planning and Scheduling 27 (05.06.2017): 504–12. http://dx.doi.org/10.1609/icaps.v27i1.13865.
Der volle Inhalt der QuelleChanel, Caroline, Charles Lesire und Florent Teichteil-Königsbuch. „A Robotic Execution Framework for Online Probabilistic (Re)Planning“. Proceedings of the International Conference on Automated Planning and Scheduling 24 (11.05.2014): 454–62. http://dx.doi.org/10.1609/icaps.v24i1.13669.
Der volle Inhalt der QuelleFusi, Matteo, Fabio Mazzocchetti, Albert Farres, Leonidas Kosmidis, Ramon Canal, Francisco J. Cazorla und Jaume Abella. „On the Use of Probabilistic Worst-Case Execution Time Estimation for Parallel Applications in High Performance Systems“. Mathematics 8, Nr. 3 (01.03.2020): 314. http://dx.doi.org/10.3390/math8030314.
Der volle Inhalt der QuelleDissertationen zum Thema "Probabilistic execution time"
Küttler, Martin, Michael Roitzsch, Claude-Joachim Hamann und Marcus Völp. „Probabilistic Analysis of Low-Criticality Execution“. Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-233117.
Der volle Inhalt der QuelleKüttler, Martin, Michael Roitzsch, Claude-Joachim Hamann und Marcus Völp. „Probabilistic Analysis of Low-Criticality Execution“. Technische Universität Dresden, 2017. https://tud.qucosa.de/id/qucosa%3A30798.
Der volle Inhalt der QuelleKumar, Tushar. „Characterizing and controlling program behavior using execution-time variance“. Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55000.
Der volle Inhalt der QuelleGuet, Fabrice. „Étude de l'application de la théorie des valeurs extrêmes pour l'estimation fiable et robuste du pire temps d'exécution probabiliste“. Thesis, Toulouse, ISAE, 2017. http://www.theses.fr/2017ESAE0041/document.
Der volle Inhalt der QuelleSoftware tasks are time constrained in real time computing systems. To ensure the safety of the critical systems that embeds the real time system, it is of paramount importance to safely estimate the worst-case execution time of each task. Modern commercial processors optimisation components enable to reduce in average the task execution time at the cost of a hard to determine task worst-case execution time. Many approaches for executing a task worst-case execution time exist but are usually segregated and hardly scalable, or by building very complex models. Measurement-based probabilistic timing analysis approaches are said to be easy and fast, but they suffer from a lack of systematism and confidence in their estimates. This thesis studies the applicability of the extreme value theory to a sequence of execution time measurements for the estimation of the probabilistic worst-case execution time, leading to the development of the diagxtrm tool. Thanks to a large panel of sequences of measurements from different real time systems, capabilities and limits of the tool are enlightened. Finally, a couple of methods are provided for determining measurements conditions that foster the application of the theory and raise more confidence in the estimates
Buchteile zum Thema "Probabilistic execution time"
Guan, Ji, und Nengkun Yu. „A Probabilistic Logic for Verifying Continuous-time Markov Chains“. In Tools and Algorithms for the Construction and Analysis of Systems, 3–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99527-0_1.
Der volle Inhalt der QuelleMeyer, Philipp J., Javier Esparza und Philip Offtermatt. „Computing the Expected Execution Time of Probabilistic Workflow Nets“. In Tools and Algorithms for the Construction and Analysis of Systems, 154–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17465-1_9.
Der volle Inhalt der QuelleSantinelli, Luca, und Zhishan Guo. „On the Criticality of Probabilistic Worst-Case Execution Time Models“. In Dependable Software Engineering. Theories, Tools, and Applications, 59–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69483-2_4.
Der volle Inhalt der QuelleReghenzani, Federico. „Beyond the Traditional Analyses and Resource Management in Real-Time Systems“. In Special Topics in Information Technology, 67–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_6.
Der volle Inhalt der QuelleLundén, Daniel, Gizem Çaylak, Fredrik Ronquist und David Broman. „Automatic Alignment in Higher-Order Probabilistic Programming Languages“. In Programming Languages and Systems, 535–63. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30044-8_20.
Der volle Inhalt der QuelleHöfig, Kai. „Failure-Dependent Timing Analysis - A New Methodology for Probabilistic Worst-Case Execution Time Analysis“. In Lecture Notes in Computer Science, 61–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28540-0_5.
Der volle Inhalt der QuelleStemmer, Ralf, Hai-Dang Vu, Kim Grüttner, Sebastien Le Nours, Wolfgang Nebel und Sebastien Pillement. „Experimental Evaluation of Probabilistic Execution-Time Modeling and Analysis Methods for SDF Applications on MPSoCs“. In Lecture Notes in Computer Science, 241–54. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27562-4_17.
Der volle Inhalt der QuelleFalcone, Yliès, Gwen Salaün und Ahang Zuo. „Probabilistic Runtime Enforcement of Executable BPMN Processes“. In Fundamental Approaches to Software Engineering, 56–76. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57259-3_3.
Der volle Inhalt der QuelleGentili, Elisabetta, Alice Bizzarri, Damiano Azzolini, Riccardo Zese und Fabrizio Riguzzi. „Regularization in Probabilistic Inductive Logic Programming“. In Inductive Logic Programming, 16–29. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49299-0_2.
Der volle Inhalt der QuelleHuang, Wei-Chih, und William J. Knottenbelt. „Low-Overhead Development of Scalable Resource-Efficient Software Systems“. In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 81–105. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6026-7.ch005.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Probabilistic execution time"
Liang, Yun, und Tulika Mitra. „Cache modeling in probabilistic execution time analysis“. In the 45th annual conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1391469.1391551.
Der volle Inhalt der QuelleArcaro, Luis Fernando, Karila Palma Silva, Romulo Silva de Oliveira und Luis Almeida. „Reliability Test based on a Binomial Experiment for Probabilistic Worst-Case Execution Times“. In 2020 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2020. http://dx.doi.org/10.1109/rtss49844.2020.00016.
Der volle Inhalt der QuelleZhu, Dakai, Hakan Aydin und Jian-Jia Chen. „Optimistic Reliability Aware Energy Management for Real-Time Tasks with Probabilistic Execution Times“. In 2008 IEEE 29th Real-Time Systems Symposium (RTSS). IEEE, 2008. http://dx.doi.org/10.1109/rtss.2008.37.
Der volle Inhalt der QuelleHardy, Damien, und Isabelle Puaut. „Static probabilistic worst case execution time estimation for architectures with faulty instruction caches“. In the 21st International conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2516821.2516842.
Der volle Inhalt der QuelleMarchiori, Dúnia, Ricardo Custódio, Daniel Panario und Lucia Moura. „Towards constant-time probabilistic root finding for code-based cryptography“. In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbseg.2021.17313.
Der volle Inhalt der QuelleMarchiori, Dúnia, Ricardo Custódio, Daniel Panario und Lucia Moura. „Towards constant-time probabilistic root finding for code-based cryptography“. In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbseg.2021.17313.
Der volle Inhalt der QuellePsarros, George Ad. „Comparing the Navigator’s Response Time in Collision and Grounding Accidents“. In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41001.
Der volle Inhalt der QuelleSaint-Guillain, Michael, Tiago Stegun Vaquero, Jagriti Agrawal und Steve Chien. „Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions“. In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/576.
Der volle Inhalt der QuelleOrji, Mirian Kosi, Toyin Arowosafe und John Agiaye. „Improving Well Construction/Intervention Time and Cost Estimation Accuracy Via Historical Performance Data Analysis“. In SPE Nigeria Annual International Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/217196-ms.
Der volle Inhalt der QuelleMohamat Nor, Noor Azman, und Andrew Findlay. „Unit Health Assessment- Oil & Gas Equipment Probabilistic Case Study“. In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59318.
Der volle Inhalt der Quelle