Auswahl der wissenschaftlichen Literatur zum Thema „Automated orchestration“
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Zeitschriftenartikel zum Thema "Automated orchestration"
Mauro Femminella und Gianluca Reali. „An edge abstraction layer enabling federated and hierarchical orchestration of CCAM services in 5G and beyond networks“. ITU Journal on Future and Evolving Technologies 3, Nr. 2 (13.07.2022): 59–81. http://dx.doi.org/10.52953/lnav1342.
Der volle Inhalt der QuelleAmarjeet Singh, Et al. „Microservices Container Security Orchestration Framework within Kubernetes and Docker for Business-Critical Applications within Digital Transformation“. International Journal on Recent and Innovation Trends in Computing and Communication 11, Nr. 3 (31.03.2023): 332–36. http://dx.doi.org/10.17762/ijritcc.v11i3.9863.
Der volle Inhalt der QuelleNina Slamnik-Krijestorac, Mauro Femminella, Girma M. Yilma, Marco Liebsch, Gianluca Reali und Johann M. Marquez-Barja. „Orchestrating distributed 5G edges for automotive cross-border trials: Validation of an experimental prototype“. ITU Journal on Future and Evolving Technologies 4, Nr. 2 (09.06.2023): 306–24. http://dx.doi.org/10.52953/jttu5989.
Der volle Inhalt der QuelleBayani, Samir Vinayak, Ravish Tillu und Jawaharbabu Jeyaraman. „Streamlining Compliance: Orchestrating Automated Checks for Cloud-based AI/ML Workflows“. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2, Nr. 3 (30.08.2023): 413–35. http://dx.doi.org/10.60087/jklst.vol2.n3.p435.
Der volle Inhalt der QuelleAkter, Sohana. „Harmonizing Compliance: Coordinating Automated Verification Processes within Cloud-based AI/ML Workflows“. Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 3, Nr. 1 (10.04.2024): 143–60. http://dx.doi.org/10.60087/jaigs.vol03.issue01.p160.
Der volle Inhalt der QuelleAkter, Sohana. „Harmonizing Compliance: Coordinating Automated Verification Processes within Cloud-based AI/ML Workflows“. Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 3, Nr. 1 (10.04.2024): 292–302. http://dx.doi.org/10.60087/jaigs.v3i1.121.
Der volle Inhalt der QuelleZou, Guobing, Yixin Chen, You Xu, Ruoyun Huang und Yang Xiang. „Towards Automated Choreographing of Web Services Using Planning“. Proceedings of the AAAI Conference on Artificial Intelligence 26, Nr. 1 (20.09.2021): 178–84. http://dx.doi.org/10.1609/aaai.v26i1.8101.
Der volle Inhalt der QuelleSciancalepore, Vincenzo, Faqir Zarrar Yousaf und Xavier Costa-Perez. „z-TORCH: An Automated NFV Orchestration and Monitoring Solution“. IEEE Transactions on Network and Service Management 15, Nr. 4 (Dezember 2018): 1292–306. http://dx.doi.org/10.1109/tnsm.2018.2867827.
Der volle Inhalt der QuelleSingh, Shikha, Ajay Kumar Bharti, Himanshu Pandey, Rakesh Kumar Yadav, Durgansh Sharma und N. R. Shanker. „Towards Automated and Optimized Security Orchestration in Cloud SLA“. International Journal on Recent and Innovation Trends in Computing and Communication 11, Nr. 3 (04.04.2023): 215–22. http://dx.doi.org/10.17762/ijritcc.v11i3.6339.
Der volle Inhalt der QuelleRusek, Marian, und Joanna Landmesser. „Time Complexity of an Distributed Algorithm for Load Balancing of Microservice-oriented Applications in the Cloud“. ITM Web of Conferences 21 (2018): 00018. http://dx.doi.org/10.1051/itmconf/20182100018.
Der volle Inhalt der QuelleDissertationen zum Thema "Automated orchestration"
YUSUPOV, JALOLLIDDIN. „Formal assurance of security policies in automated network orchestration (SDN/NFV)“. Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2850616.
Der volle Inhalt der QuelleCrestel, Léopold. „Neural networks for automatic musical projective orchestration“. Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS625.
Der volle Inhalt der QuelleOrchestration is the art of composing a musical discourse over a combinatorial set of instrumental possibilities. For centuries, musical orchestration has only been addressed in an empirical way, as a scientific theory of orchestration appears elusive. In this work, we attempt to build the first system for automatic projective orchestration, and to rely on machine learning. Hence, we start by formalizing this novel task. We focus our effort on projecting a piano piece onto a full symphonic orchestra, in the style of notable classic composers such as Mozart or Beethoven. Hence, the first objective is to design a system of live orchestration, which takes as input the sequence of chords played by a pianist and generate in real-time its orchestration. Afterwards, we relax the real-time constraints in order to use slower but more powerful models and to generate scores in a non-causal way, which is closer to the writing process of a human composer. By observing a large dataset of orchestral music written by composers and their reduction for piano, we hope to be able to capture through statistical learning methods the mechanisms involved in the orchestration of a piano piece. Deep neural networks seem to be a promising lead for their ability to model complex behaviour from a large dataset and in an unsupervised way. More specifically, in the challenging context of symbolic music which is characterized by a high-dimensional target space and few examples, we investigate autoregressive models. At the price of a slower generation process, auto-regressive models allow to account for more complex dependencies between the different elements of the score, which we believe to be of the foremost importance in the case of orchestration
Teiller, Alexandre. „Aspects algorithmiques de l'optimisation « multistage »“. Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS471.
Der volle Inhalt der QuelleN a classical combinatorial optimization setting, given an instance of a problem one needs to find a good feasible solution. However, in many situations, the data may evolve over time and one has to solve a sequence of instances. Gupta et al. (2014) and Eisenstat et al. (2014) proposed a multistage model where given a time horizon the input is a sequence of instances (one for each time step), and the goal is to find a sequence of solutions (one for each time step) reaching a trade-off between the quality of the solutions in each time step and the stability/similarity of the solutions in consecutive time steps. In Chapter 1 of the thesis, we will present an overview of optimization problems tackling evolving data. Then, in Chapter 2, the multistage knapsack problem is addressed in the offline setting. The main contribution is a polynomial time approximation scheme (PTAS) for the problem in the offline setting. In Chapter 3, the multistage framework is studied for multistage problems in the online setting. The main contribution of this chapter was the introduction of a structure for these problems and almost tight upper and lower bounds on the best-possible competitive ratio for these models. Finally in chapter 4 is presented a direct application of the multistage framework in a musical context i.e. the target-based computed-assisted orchestration problem. Is presented a theoretical analysis of the problem, with NP-hardness and approximation results as well as some experimentations
Ponge, Julien. „Model based analysis of Time-aware Web service interactions“. Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2008. http://tel.archives-ouvertes.fr/tel-00730187.
Der volle Inhalt der QuelleLallali, Mounir. „Modélisation et Test Fonctionnel de l'Orchestration de Services Web“. Phd thesis, Institut National des Télécommunications, 2009. http://tel.archives-ouvertes.fr/tel-00732511.
Der volle Inhalt der QuelleSilva, Ana Margarida Oliveira Pinheiro da. „Orchestration for Automatic Decentralization in Visually-defined IoT“. Master's thesis, 2020. https://hdl.handle.net/10216/128520.
Der volle Inhalt der QuelleSilva, Ana Margarida Oliveira Pinheiro da. „Orchestration for Automatic Decentralization in Visually-defined IoT“. Dissertação, 2020. https://hdl.handle.net/10216/128520.
Der volle Inhalt der QuelleBartashevich, Dzianis. „Orchestration of cloud services with critical components in SKA“. Master's thesis, 2019. http://hdl.handle.net/10773/29552.
Der volle Inhalt der QuelleEsta dissertação propõe métodos de alta disponibilidade para aplicações críticas, a fim de manter a sua função normal e se recuperar de falhas inesperadas. As aplicações podem ser desenvolvidas e alojadas para trabalhar no ambiente de nuvem para obter flexibilidade na manutenção, oferecendo também a opção de monitorização. Um sistema de monitorização pode vigiar as métricas do sistema, como o uso de CPU ou apenas um serviço de aplicativo específico, esteja ele em execução ou não. Além disso, a criação de alarmes no sistema de monitorização permite acionar a notificação sobre uma ocorrência não esperada de evento, ajudando o orquestrador a recuperar a situação do estado critico. A ocorrência da falha pode acontecer quando uma determinada métrica está acima do limite estabelecido, onde o SLA (Service Level Agreement) é violado. A solução implementada e testada usa a nuvem privada OpenStack como suporte à infraestrutura e, por meio do orquestrador Heat, do sistema de monitorização TICK Stack e de um mecanismo de recuperação, fornece uma solução capaz para o monitorizar o estado das aplicações, oferecendo alta disponibilidade. Os resultados do teste provaram que a solução é capaz de recuperar o serviço em diferentes cenários de teste, indicando os limites de monitorização do sistema e recuperar o serviço em tempo aceitável sem comprometer outros serviços.
Mestrado em Engenharia Informática
Basile, Davide. „Specification and Verification of Contract-Based Applications“. Doctoral thesis, 2016. http://hdl.handle.net/2158/1143896.
Der volle Inhalt der QuelleBücher zum Thema "Automated orchestration"
Langenhan, Daniel. VMware VRealize Orchestrator Essentials: Get Hands-On Experience with VRealize Orchestrator and Automate Your VMware Environment. Packt Publishing, Limited, 2015.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Automated orchestration"
Comer, Douglas E. „Orchestration: Automated Replication And Parallelism“. In The Cloud Computing Book, 127–40. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003147503-13.
Der volle Inhalt der QuelleRaj, Pethuru, und Anupama Raman. „Automated Multi-cloud Operations and Container Orchestration“. In Software-Defined Cloud Centers, 185–218. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78637-7_9.
Der volle Inhalt der QuelleSchaffner, Jan, Harald Meyer und Cafer Tosun. „A Semi-automated Orchestration Tool for Service-Based Business Processes“. In Service-Oriented Computing – ICSOC 2007, 50–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75492-3_5.
Der volle Inhalt der QuelleMonti, Flavia, Luciana Silo, Francesco Leotta und Massimo Mecella. „Services in Smart Manufacturing: Comparing Automated Reasoning Techniques for Composition and Orchestration“. In Service-Oriented Computing, 69–83. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45728-9_5.
Der volle Inhalt der QuelleDong, Jin Song, Yang Liu, Jun Sun und Xian Zhang. „Verification of Computation Orchestration Via Timed Automata“. In Formal Methods and Software Engineering, 226–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11901433_13.
Der volle Inhalt der QuelleMaslov, Vadym, und Andriy Petrashenko. „Distributed Serverless Computing Orchestration Based on Finite Automaton“. In Advances in Computer Science for Engineering and Education IV, 290–303. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80472-5_25.
Der volle Inhalt der QuelleBerndt, Axel, und Holger Theisel. „Adaptive Musical Expression from Automatic Realtime Orchestration and Performance“. In Interactive Storytelling, 132–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89454-4_20.
Der volle Inhalt der QuellePetrova-Antonova, Dessislava, Sylvia Ilieva, Vera Stoyanova, Ilina Manova und Valentin Pavlov. „An Automated Approach for Fault Injection Testing of BPEL Orchestrations“. In Communications in Computer and Information Science, 84–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39179-8_8.
Der volle Inhalt der QuelleBartoloni, Leonardo, Antonio Brogi und Ahmad Ibrahim. „Automated Prediction of the QoS of Service Orchestrations: PASO at Work“. In Communications in Computer and Information Science, 111–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33313-7_8.
Der volle Inhalt der QuelleJongmans, Sung-Shik T. Q., Francesco Santini, Mahdi Sargolzaei, Farhad Arbab und Hamideh Afsarmanesh. „Automatic Code Generation for the Orchestration of Web Services with Reo“. In Service-Oriented and Cloud Computing, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33427-6_1.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Automated orchestration"
Liu, Changbin, Boon Thau Loo und Yun Mao. „Declarative automated cloud resource orchestration“. In the 2nd ACM Symposium. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2038916.2038942.
Der volle Inhalt der QuelleZhizhchenko, Mikhail Alekseevich, Gury Mikhaylovich Mikhaylov, Alexey Nikolaevich Salnikov und Andrey Mikhailovich Chernetsov. „Orchestration systems as container management tools“. In 24th Scientific Conference “Scientific Services & Internet – 2022”. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/abrau-2022-34.
Der volle Inhalt der QuelleKamada, Ryosuke, Seiji Tsuchiya und Hirokazu Watabe. „Automated Orchestration Systems Based on Deep Learning“. In 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). IEEE, 2023. http://dx.doi.org/10.1109/csce60160.2023.00031.
Der volle Inhalt der QuelleHarb, A., P. Amoudruz, S. Roy, H. Hayek, M. Hurtado und R. Torrens. „Automated Development Concept Generation—Digital Transformation of Field Development Planning“. In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216332-ms.
Der volle Inhalt der QuelleMeis, Jochen, und Jorg Draeger. „Modelling automated service orchestration for IT-based homeservices“. In 2007 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2007. http://dx.doi.org/10.1109/soli.2007.4383958.
Der volle Inhalt der QuelleDi Noia, T., E. Di Sciascio, F. M. Donini, A. Ragone und S. Colucci. „Automated semantic web services orchestration via concept covering“. In Special interest tracks and posters of the 14th international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1062745.1062918.
Der volle Inhalt der QuelleDeyab, Hitham Haidar, und Rodziah Binti Atan. „Orchestration framework for automated Ajax-based web application testing“. In 2015 9th Malaysian Software Engineering Conference (MySEC). IEEE, 2015. http://dx.doi.org/10.1109/mysec.2015.7475186.
Der volle Inhalt der QuelleBringhenti, Daniele, Guido Marchetto, Riccardo Sisto, Fulvio Valenza und Jalolliddin Yusupov. „Automated optimal firewall orchestration and configuration in virtualized networks“. In NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2020. http://dx.doi.org/10.1109/noms47738.2020.9110402.
Der volle Inhalt der QuelleDoan-Van, Tung, Alexander Kropp, Giang T. Nguyen, Hani Salah und Frank H. P. Fitzek. „Programmable first: Automated orchestration between MEC and NFV platforms“. In 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2019. http://dx.doi.org/10.1109/ccnc.2019.8651871.
Der volle Inhalt der QuelleBringhenti, Daniele, Guido Marchetto, Riccardo Sisto, Fulvio Valenza und Jalolliddin Yusupov. „Towards a fully automated and optimized network security functions orchestration“. In 2019 4th International Conference on Computing, Communications and Security (ICCCS). IEEE, 2019. http://dx.doi.org/10.1109/cccs.2019.8888130.
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