Relevant bibliographies by topics / Automated orchestration

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Automated orchestration'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Automated orchestration"

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Mauro Femminella and 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, no. 2 (July 13, 2022): 59–81. http://dx.doi.org/10.52953/lnav1342.

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This paper shows a flexible orchestration solution for deploying Cooperative, Connected, and Automated Mobility (CCAM) services in 5G and beyond networks. This solution is based on the concepts of federation and hierarchy of orchestration functions. The federated approach is leveraged to cope with the differentiated complexity operation when multiple network operators are considered, whereas the hierarchical approach addresses the issue of jointly orchestrating multiple edge platforms in the network of a single operator. In this complex orchestration architecture, the main contribution of this paper consists of the design and implementation of an Abstraction and Adaptation Layer (AAL) for edge clouds, a new component enabling a truly cooperative and coordinated orchestration between different edge systems, characterized by appreciable experimental performance in terms of latency.
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Amarjeet 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, no. 3 (March 31, 2023): 332–36. http://dx.doi.org/10.17762/ijritcc.v11i3.9863.

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Container virtualization technology facilitates the creation of microservices-based systems through continuous integration. Container-based apps can be deployed more easily when they use orchestration systems like Kubernetes, which has become the de facto standard. It can be difficult to create effective and precise orchestration systems, nevertheless. The scheduler, a crucial orchestrator task that allocates physical resources to containers, is the subject of this article. Scheduling strategies are developed using several Quality-of-Service metrics. The CI in CI/CD stands for continuous integration. Continuous integration drives the automation in the development and delivery of the code and developers frequently apply code changes. It’s an automated process that allows multiple developers to contribute software components to the same project without integration conflicts. CI also triggers the process of testing the applications automatically upon code commit into the repository. Container virtualization technology facilitates the creation of microservices-based systems through continuous integration. Container-based apps can be deployed more easily when they use orchestration systems like Kubernetes, which has become the de facto standard. It can be difficult to create effective and precise orchestration systems, nevertheless. The scheduler, a crucial orchestrator task that allocates physical resources to containers, is the subject of this article. Scheduling strategies are developed using several Quality of Service metrics.
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Nina Slamnik-Krijestorac, Mauro Femminella, Girma M. Yilma, Marco Liebsch, Gianluca Reali, and 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, no. 2 (June 9, 2023): 306–24. http://dx.doi.org/10.52953/jttu5989.

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The automotive industry requires ultra-reliable low-latency connectivity for its vehicles, and as such, it is one of the promising customers of 5G ecosystems and their orchestrated network infrastructure. In particular, Multi-Access Edge Computing (MEC) provides moving vehicles with localized low-latency access to service instances. However, given the mobility of vehicles, and various resource demand patterns at the distributed MEC nodes, challenges such as fast reconfiguration of the distributed deployment according to mobility pattern and associated service and resource demand need to be mitigated. In this paper, we present the orchestrated edges platform, which is a solution for orchestrating distributed edges in complex cross-border network environments, tailored to Connected, Cooperative, and Automated Mobility (CCAM) use cases within a 5G ecosystem. The proposed solution enables collaboration between orchestrators that belong to different tiers, and various federated edge domains, with the goal to enable service continuity for vehicles traversing cross-border corridors. The paper presents the prototype that we built for the H2020 5G-CARMEN trials, including the validation of the orchestration design choices, followed by the promising results that span both orchestration (orchestration latency) and application performance-related metrics (client-to-edge and edge-to-edge service data plane latencies).
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Bayani, Samir Vinayak, Ravish Tillu, and 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, no. 3 (August 30, 2023): 413–35. http://dx.doi.org/10.60087/jklst.vol2.n3.p435.

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Ensuring security and safeguarding data privacy within cloud workflows has garnered considerable attention in research circles. For instance, protecting the confidentiality of patients' private data managed within a cloud-deployed workflow is crucial, as is ensuring secure communication of such sensitive information among various stakeholders. In light of this, our paper proposes an architecture and a formal model for enforcing security within cloud workflow orchestration. The proposed architecture underscores the importance of monitoring cloud resources, workflow tasks, and data to identify and anticipate anomalies in cloud workflow orchestration. To achieve this, we advocate a multi-modal approach combining deep learning, one-class classification, and clustering techniques. In summary, our proposed architecture offers a comprehensive solution to security enforcement within cloud workflow orchestration, leveraging advanced techniques like deep learning for anomaly detection and prediction, particularly pertinent in critical domains such as healthcare during unprecedented times like the COVID-19 pandemic.
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Akter, Sohana. "Harmonizing Compliance: Coordinating Automated Verification Processes within Cloud-based AI/ML Workflows." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 3, no. 1 (April 10, 2024): 143–60. http://dx.doi.org/10.60087/jaigs.vol03.issue01.p160.

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The significance of ensuring security and upholding data privacy within cloud-based workflows is widely recognized in research domains. This importance is particularly evident in contexts such as safeguarding patients' private data managed within cloud-deployed workflows, where maintaining confidentiality is paramount, alongside ensuring secure communication among involved stakeholders. In response to these imperatives, our paper presents an architecture and formal model designed to enforce security measures within cloud workflow orchestration. Central to our proposed architecture is the emphasis on continuous monitoring of cloud resources, workflow tasks, and data streams to detect and preempt anomalies in workflow orchestration processes. To accomplish this, we advocate for a multi-modal approach that integrates deep learning, one-class classification, and clustering techniques. In essence, our proposed architecture offers a comprehensive solution for enforcing security within cloud workflow orchestration, harnessing advanced methodologies like deep learning for anomaly detection and prediction. This approach is particularly pertinent in critical sectors such as healthcare, especially during unprecedented events like the COVID-19 pandemic.
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Akter, Sohana. "Harmonizing Compliance: Coordinating Automated Verification Processes within Cloud-based AI/ML Workflows." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 3, no. 1 (April 10, 2024): 292–302. http://dx.doi.org/10.60087/jaigs.v3i1.121.

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The significance of ensuring security and upholding data privacy within cloud-based workflows is widely recognized in research domains. This importance is particularly evident in contexts such as safeguarding patients' private data managed within cloud-deployed workflows, where maintaining confidentiality is paramount, alongside ensuring secure communication among involved stakeholders. In response to these imperatives, our paper presents an architecture and formal model designed to enforce security measures within cloud workflow orchestration. Central to our proposed architecture is the emphasis on continuous monitoring of cloud resources, workflow tasks, and data streams to detect and preempt anomalies in workflow orchestration processes. To accomplish this, we advocate for a multi-modal approach that integrates deep learning, one-class classification, and clustering techniques. In essence, our proposed architecture offers a comprehensive solution for enforcing security within cloud workflow orchestration, harnessing advanced methodologies like deep learning for anomaly detection and prediction. This approach is particularly pertinent in critical sectors such as healthcare, especially during unprecedented events like the COVID-19 pandemic.
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Zou, Guobing, Yixin Chen, You Xu, Ruoyun Huang, and Yang Xiang. "Towards Automated Choreographing of Web Services Using Planning." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 178–84. http://dx.doi.org/10.1609/aaai.v26i1.8101.

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For Web service composition, choreography has recently received great attention and demonstrated a few key advantages over orchestration such as distributed control, fairness, data efficiency, and scalability. Automated design of choreography plans, especially distributed plans for multiple roles, is more complex and has not been studied before. Existing work requires manual generation assisted by model checking. In this paper, we propose a novel planning-based approach that can automatically convert a given composition task to a distributed choreography specification. Although planning has been used for orchestration, it is difficult to use planning for choreography, as it involves decentralized control, concurrent workflows, and contingency. We propose a few novel techniques, including compilation of contingencies, dependency graph analysis, and communication control, to handle these characteristics using planning. We theoretically show the correctness of this approach and empirically evaluate its practicability.
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Sciancalepore, Vincenzo, Faqir Zarrar Yousaf, and Xavier Costa-Perez. "z-TORCH: An Automated NFV Orchestration and Monitoring Solution." IEEE Transactions on Network and Service Management 15, no. 4 (December 2018): 1292–306. http://dx.doi.org/10.1109/tnsm.2018.2867827.

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Singh, Shikha, Ajay Kumar Bharti, Himanshu Pandey, Rakesh Kumar Yadav, Durgansh Sharma, and N. R. Shanker. "Towards Automated and Optimized Security Orchestration in Cloud SLA." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3 (April 4, 2023): 215–22. http://dx.doi.org/10.17762/ijritcc.v11i3.6339.

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In cloud computing, providers pool their resources and make them available to customers. Next-generation computer scientists are flocking to the cutting-edge field of cloud computing for their research and exploration of uncharted territory. There are still several barriers that cloud service providers must overcome in order to provide cloud services in accordance with service level agreements. Each cloud service provider aspires to achieve maximum performance as per Service Level Agreements (SLAs), and this is especially true when it comes to the delivery of services. A cloud service level agreement (SLA) guarantees that cloud service providers will satisfy the needs of large businesses and offer their clients with a specified list of services. The authors offer a web service level agreement–inspired approach for cloud service agreements. We adopt patterns and antipatterns to symbolize the best and worst practices of OCCI (Open Cloud Computing Interface Standard), REST (Representational State Transfer), and TOSCA (Topology and Orchestration Specification for Cloud Applications) with DevOps solutions, all of which API developers should bear in mind when designing APIs. When using this method, everything pertaining to the cloud service, from creation to deployment to measurement to evaluation to management to termination, may be handled mechanically. When distributing resources to cloud apps, our system takes into account the likelihood of SLA breaches and responds by providing more resources if necessary. We say that for optimal performance, our suggested solution should be used in a private cloud computing setting. As more and more people rely on cloud computing for their day-to-day workloads, there has been a corresponding rise in the need for efficient orchestration and management strategies that foster interoperability.
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Rusek, Marian, and 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.

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Microservice architecture is a relatively new cloud application design pattern. Each microservice has a single responsibility in terms of functional requirement, and that can be managed independently from other microservices. This is done using automated cloud orchestration systems. In this paper we analyze the time complexity of an simple swarm-like decentralized load balancing algorithm for microservices running inside OpenVZ virtualization containers. We show that it can offer performance improvements with respect to the existing centralized container orchestration systems.
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Dissertations / Theses on the topic "Automated orchestration"

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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.

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Crestel, Léopold. "Neural networks for automatic musical projective orchestration." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS625.

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L’orchestration est l’art de composer un discours musical en combinant les timbres instrumentaux. La complexité de la discipline a longtemps été un frein à l’élaboration d’une théorie de l’orchestration. Ainsi, contrairement à l’harmonie ou au contrepoint qui s’appuient sur de solides constructions théoriques, l’orchestration reste de nos jours encore essentiellement enseignée à travers l’observation d’exemples canoniques. Notre objectif est de développer un système d’orchestration automatique de pièce pour piano en nous appuyant sur des méthodes d’apprentissage statistique. Nous nous focalisons sur le répertoire classique, cette technique d’écriture étant courante pour des compositeurs tels que Mozart ou Beethoven qui réalisaient d’abord une ébauche pianistique de leurs pièces orchestrales. En observant une large base de donnée de pièces pour orchestre et leurs réductions pour piano, nous évaluons l'aptitude des réseaux de neurones à apprendre les mécanismes complexes qui régissent l’orchestration. La vaste capacité d’apprentissage des architectures profondes semble adaptée à la difficulté du problème. Cependant, dans un contexte orchestrale, les représentations musicales symboliques traditionnelles donnent lieu à des vecteurs parcimonieux dans des espaces de grande dimension. Nous essayons donc de contourner ces difficultés en utilisant des méthodes auto-régressives et des fonctions d’erreur adaptées. Finalement, nous essayons de développer un système capable d'orchestrer en temps réel l'improvisation d'un pianiste
Orchestration 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
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Teiller, Alexandre. "Aspects algorithmiques de l'optimisation « multistage »." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS471.

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En optimisation combinatoire classique, étant donné une instance d’un problème, il est demandé de trouver une bonne solution réalisable. Cependant, dans de nombreux cas, les données peuvent évoluer au cours du temps et il est demandé de résoudre une séquence d’instances. Gupta et al. (2014) et Eisenstat et al. (2014) ont proposé un modèle multistage où étant donné un horizon de temps, l’entrée est une séquence d’instances (une pour chaque pas de temps), et l’objectif est de trouver une séquence de solutions (une pour chaque pas de temps) qui atteindrait un compromis entre la qualité des solutions à chaque pas de temps et la stabilité/similarité des solutions pour des pas de temps consécutifs. Dans le Chapitre 1, nous présenterons un aperçu des problèmes d’optimisation prenant en compte des données évolutives. Dans le Chapitre 2, le problème du sac-à-dos est traité dans un contexte offline. La contribution principale est un schéma d’approximation polynomiale (PTAS). Dans le Chapitre 3, le cadre multistage est étudié pour des problèmes multistage dans un contexte online. La contribution principale est l’introduction d’une structure pour ces problèmes avec des bornes presque serrées supérieures et inférieures sur les meilleurs ratios compétitifs de ces modèles. Enfin, dans le Chapitre 4 est présenté une application directe du cadre multistage dans un contexte musical, i.e l’orchestration assistée par ordinateur avec son cible. Nous avons présenté une analyse théorique du problème, en montrant sa NP-difficulté, des résultats d’approximation ainsi que des expérimentations
N 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
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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.

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Les services web gagnent de l'importance en tant que cadre facilitant l'intégration d'applications au sein et en dehors des frontières des entreprises. Il est accepté que la description d'un service ne devrait pas seulement inclure l'interface, mais aussi le protocole métier supporté par le service. Dans le cadre de ce travail, nous avons formalisé la catégorie des protocoles incluant des contraintes de temps (appelés protocoles temporisés) et étudié l'impact du temps sur l'analyse de compatibilité et de remplaçabilité. Nous avons formalisé les contraintes suivantes : les contraintes Clnvoke définissent des fenêtres de disponibilités tandis que les contraintes Mlnvoke définissent des délais d'expiration. Nous avons étendu les techniques pour l'analyse de compatibilité et de remplaçabilité entre protocoles temporisés à l'aide d'un mapping préservant la sémantique entre les protocoles temporisés et les automates temporisés, ce qui a défini la classe des automates temporisés de protocoles (PTA). Les PTA possèdent des transitions silencieuses qui ne peuvent pas être supprimées en général, et pourtant ils sont fermés par calcul du complément, ce qui rend décidable les différents types d'analyse de compatibilité et de remplaçabilité. Enfin, nous avons mis en oeuvre notre approche dans le cadre du projet ServiceMosaic, une plate-forme pour la gestion du cycle de vie des services web.
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Lallali, 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.

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Ces dernières années ont vu l'émergence d'architectures orientées services (SOA) conçues pour faciliter la création, l'exposition, l'interconnexion et la réutilisation d'applications à base de services. Les services Web sont la réalisation la plus importante de cette architecture SOA. Ce sont des applications auto descriptives et modulaires fournissant un modèle simple de programmation et de déploiement d'applications. La composition de services Web, en particulier l'orchestration, est au coeur de l'ingénierie à base de services (SOC pour Service Oriented Computing) puisque elle supporte la construction de nouveaux services composés à partir de services de base. De son côté, WS-BPEL (ou BPEL) s'est imposé depuis 2005 comme le langage standard d'orchestration de services Web. Cette thèse de Doctorat s'articule autour du test fonctionnel de l'orchestration de services décrite en langage BPEL, qui consiste à établir la conformité de l'implantation d'un service composé par rapport à sa spécification. Nos activités de recherche ont été motivées par les caractéristiques spécifiques de la composition de services surtout celle décrite en BPEL, et par la nécessité d'automatisation des tests. L'objectif de cette thèse est double : d'une part, proposer une modélisation formelle de l'orchestration de services, et d'autre part, proposer une méthode de test complète de l'orchestration de services, allant de la modélisation formelle de l'orchestration à l'exécution des tests, incluant la génération automatique de cas de test. Notre modèle formel (appelé WS-TEFSM) permet de décrire une grande partie de BPEL et prend en considération les propriétés temporelles de la composition de service. La modélisation formelle est la première phase de notre approche de test. Par conséquent, nous utilisons le modèle formel résultant pour la génération de cas de test satisfaisant un ensemble d'objectifs de test. L'automatisation de la génération de cas de test a été mise en oeuvre par l'implémentation d'une stratégie efficace d'exploration partielle de l'espace d'états (i.e. Hit-Or-Jump) dans le simulateur IF. Pour se focaliser seulement sur les erreurs potentielles du service orchestrateur (service composé), nous proposons une approche de test boîte grise consistant à simuler les services partenaires de cet orchestrateur. Nous avons abordé ces problématiques à la fois d'un point de vue théorique et pratique. En plus de la proposition d'une modélisation formelle de l'orchestration de services et d'un algorithme de génération de cas de test temporisés, nous avons implémenté ces deux concepts en développant deux prototypes. BPEL2IF permet de transformer une orchestration de services décrite en BPEL en une spécification formelle à base d'automates temporisés (spécification IF). TestGen-IF permet de dériver automatiquement des cas de test temporisés. Enfin, pour valider notre démarche, nous avons appliqué notre approche de test à des cas d'études de taille réelle.
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Silva, Ana Margarida Oliveira Pinheiro da. "Orchestration for Automatic Decentralization in Visually-defined IoT." Master's thesis, 2020. https://hdl.handle.net/10216/128520.

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Silva, Ana Margarida Oliveira Pinheiro da. "Orchestration for Automatic Decentralization in Visually-defined IoT." Dissertação, 2020. https://hdl.handle.net/10216/128520.

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Bartashevich, Dzianis. "Orchestration of cloud services with critical components in SKA." Master's thesis, 2019. http://hdl.handle.net/10773/29552.

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This dissertation proposes methods of high-availability for critical applications to maintain their normal function and recover from unexpected failures. Applications can be developed and deployed to work within the cloud environment to achieve flexibility in maintenance, also giving the option of monitorization. A monitoring system can monitor system metrics like CPU usage or just a specific application service, whether is it running. Additionally, creating alarms within the monitoring system, allowing to trigger notification upon a failure event occurrence helping the orchestrator to failover. The failure occurrence can happen when a certain metric is above the established threshold where the Service Level Agreement (SLA) is violated. The implemented and tested solution uses OpenStack private cloud as infrastructure support, and through use of the Heat orchestrator, TICK stack monitoring system, and a recovery engine provided with a capable solution for critical application monitoring, providing high-availability. The test results proved the solution worth in different test scenarios indicating monitoring limits of the system and showed the service recovery time to be reasonable without compromising other services.
Esta 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
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Basile, Davide. "Specification and Verification of Contract-Based Applications." Doctoral thesis, 2016. http://hdl.handle.net/2158/1143896.

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Nowadays emerging paradigms are being adopted by several companies, where applications are built by assembling loosely-coupled distributed components, called services. Services may belong to possibly mutual distrusted organizations and may have conflicting goals. New methodologies for designing and verifying these applications are necessary for coping with new scenarios in which a service does not adhere with its prescribed behaviour, namely its contract. The thesis tackles this problem by proposing techniques for specifying and verifying distributed applications. The first contribution is an automata-based model checking technique for ensuring both service compliance and security requirements in a composition of services. We further develop the automata-based approach by proposing a novel formal model of contracts based on tailored finite state automata, called contract automata. The proposed model features several notions of contract agreement described from a language-theoretic perspective, for characterising the modalities in which the duties and requirements of services are fulfilled. Contract automata are equipped with different composition operators, to uniformly model both single and composite services, and techniques for synthesising an orchestrator to enforce the properties of agreement. Algorithms for verifying these properties are introduced, based on control theory and linear programming techniques. The formalism assumes the existence of possible malicious components trying to break the overall agreement, and techniques for detecting and banning eventually liable services are described. We study the conditions for dismissing the central orchestrator in order to generate a distributed choreography of services, analysing both closed and open choreographed systems, with synchronous or asynchronous interactions. We relate contract automata with different intutionistic logics for contracts, introduced for solving mutual circular dependencies between the requirements and the obligations of the parties, with either linear or non-linear availability of resources. Finally, a prototypical tool implementing the theory developed in the thesis is presented.
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Books on the topic "Automated orchestration"

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Langenhan, Daniel. VMware VRealize Orchestrator Essentials: Get Hands-On Experience with VRealize Orchestrator and Automate Your VMware Environment. Packt Publishing, Limited, 2015.

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Book chapters on the topic "Automated orchestration"

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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.

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Raj, Pethuru, and 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.

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Schaffner, Jan, Harald Meyer, and 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.

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Monti, Flavia, Luciana Silo, Francesco Leotta, and 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.

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Dong, Jin Song, Yang Liu, Jun Sun, and 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.

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Maslov, Vadym, and 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.

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Berndt, Axel, and 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.

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Petrova-Antonova, Dessislava, Sylvia Ilieva, Vera Stoyanova, Ilina Manova, and 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.

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Bartoloni, Leonardo, Antonio Brogi, and 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.

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Jongmans, Sung-Shik T. Q., Francesco Santini, Mahdi Sargolzaei, Farhad Arbab, and 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.

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Conference papers on the topic "Automated orchestration"

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Liu, Changbin, Boon Thau Loo, and 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.

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Zhizhchenko, Mikhail Alekseevich, Gury Mikhaylovich Mikhaylov, Alexey Nikolaevich Salnikov, and 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.

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The report discusses orchestration technologies for automated deployment, management and scaling of containerized applications. The paper presents a number of the best solutions for creating container orchestration tools and services that are widely used in the production environment, such as KUBERNETES, OPENSHIFT, ROCHER. DOCER SWARM.
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Kamada, Ryosuke, Seiji Tsuchiya, and 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.

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Harb, A., P. Amoudruz, S. Roy, H. Hayek, M. Hurtado, and R. Torrens. "Automated Development Concept Generation—Digital Transformation of Field Development Planning." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216332-ms.

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Abstract Effective field development planning is critical to maximize the value of opportunities. It can be a complex process due to factors like time, resource constraints, and siloed domain applications. To overcome these challenges an effective dataflow orchestration is required between subsurface, well, facility & economics to ensure coherency and auditability. This paper presents the possible digital transformation of field development planning using smart algorithms and automated dataflow orchestration to generate & evaluate numerous optimized development concepts rapidly. Extensive research has resulted in smart algorithms that work back-to-back and can automatically generate field layouts for different development concepts early stage of field development. These algorithms include the blackhole operator for specifying optimal reservoir targets using quality maps, an industry-standard trajectory engine for designing drillable wells, an evolutionary algorithm for placing facilities and the a-star algorithm for laying out the shortest pipeline route while avoiding surface no-go zones. These algorithms now function on a cloud-native digital technology that can automate the evaluation of field development plans by orchestrating data flow between subsurface, well, facility & economics. In the traditional waterfall approach for field development planning, it takes several months for each discipline to prepare data and takes many iterations between disciplines to ensure feasibility for different development concepts. In the early phase of development, teams often do not have enough time to screen a wide range of development concepts, and the opportunities presented for sanction with limited options, and often not sanctioned or recycled. The results demonstrate its exceptional ability to identify multiple reservoir targets while seamlessly adhering to a predefined injection scheme. Moreover, this solution connects these targets to optimally placed facilities using drillable, optimized trajectories and then links the facilities with pipelines that are positioned in the most efficient manner possible. To showcase our solution, we utilized the synthetic field, Olympus, which was developed by TNO for EAGE Olympus Challenge. The transformational digital solution presented here would enable coherent data sharing across all discipline and empower multi-disciplinary team to achieve faster screening of a larger number of development scenarios, leading to more efficient decision-making in field development planning. The modular and flexible solution enables refinement of the field development plan throughout the project maturation journey with different trade-offs between accuracy and efficiency. The presented innovative solution breaks down organizational silos between the reservoir, wells, and facility domains by integrating discipline specific consideration upfront and allowing them to perform detailed analysis on coherent and consistent data. Having these smart algorithms on a cloud-native data flow orchestrator allows for fast production of multiple technically feasible development concepts. The solution has been successfully validated by multiple field development teams across the globe.
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Meis, Jochen, and 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.

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Di Noia, T., E. Di Sciascio, F. M. Donini, A. Ragone, and 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.

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Deyab, Hitham Haidar, and 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.

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Bringhenti, Daniele, Guido Marchetto, Riccardo Sisto, Fulvio Valenza, and 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.

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Doan-Van, Tung, Alexander Kropp, Giang T. Nguyen, Hani Salah, and 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.

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Bringhenti, Daniele, Guido Marchetto, Riccardo Sisto, Fulvio Valenza, and 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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