Academic literature on the topic 'Orchestration Platforms'

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Journal articles on the topic "Orchestration Platforms"

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Rajan, Anaswara Thekkan. "Optimizing Serverless Function Orchestration for Complex Workflows in Cloud Platforms." American Journal of Computing and Engineering 7, no. 5 (2024): 1–11. http://dx.doi.org/10.47672/ajce.2458.

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Purpose: This paper aims to investigate ways of increasing the efficiency of various workloads of serverless function orchestration in cloud systems while decreasing latency and optimizing resources. Materials and Methods: The report suggests adaptive learning systems and a feedback loop framework for managing the orchestrating serverless environment. Findings: It has also been affirmed that case studies help validate the framework rather than presenting the practical implications of the proposed techniques. Implications to Theory, Practice and Policy: The paper recommends focusing on managing
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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 (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
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Horniichuk, Ivan, Mykhailo Shelelo, Artem Mykytiuk, and Volodymyr Onishchenko. "Information technology for orchestration of the cybersecurity training situation center cyber range virtual environment." Collection "Information Technology and Security" 12, no. 2 (2024): 283–96. https://doi.org/10.20535/2411-1031.2024.12.2.316257.

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The rapid development of information technology and the ever-increasing complexity of cyber threats create new challenges in the field of cybersecurity that require modern and innovative approaches to training. Effective training requires realistic and secure platforms, such as interactive simulated environments that allow for the modelling of various attack and defence scenarios. Cyber ranges have become a key tool for developing cybersecurity skills, but creating such platforms is a complex and resource-intensive process. Optimising the management of virtual resources is a critical condition
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Pankowski, Adam, and Paweł Powroźnik. "Comparison of application container orchestration platforms." Journal of Computer Sciences Institute 29 (December 29, 2023): 383–90. http://dx.doi.org/10.35784/jcsi.3823.

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This article presents a comparative analysis of three well-known container orchestration platforms: Docker Swarm, Kubernetes and Apache Mesos, focusing on the deployment of a test application and measuring parameters such as deployment time, memory, CPU and disk utilization, application response time and the time to restore a replica of the application using an auto-recovery mechanism. The aim of the research is to verify the performance and efficiency of the analyzed platforms, facilitating informed decisions while choosing an orchestrator for containerized applications. Two research hypothes
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Sai, Sneha. "The Power of Orchestration: Centralized Management for Effective RPA Operations." Journal of Advances in Developmental Research 14, no. 1 (2023): 1–7. https://doi.org/10.5281/zenodo.14916885.

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Robotic Process Automation (RPA) has revolutionized business operations by automating repetitive tasks and enhancing efficiency. However, as RPA ecosystems scale, managing multiple bots, ensuring seamless execution, and maintaining reliability become critical challenges. This white paper, The Power of Orchestration: Centralized Management for Effective RPA Operations, explores the pivotal role of orchestration in enabling organizations to maximize the value of their RPA investments.We delve into how centralized orchestration platforms like UiPath Orchestrator empower businesses to streamline b
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Pasupuleti, Murali Krishna. "Container Orchestration in Multi-Cloud Environments: A Performance Evaluation." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 06 (2025): 327–40. https://doi.org/10.62311/nesx/rphcrcscrcec2.

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The emergence of multi-cloud strategies has significantly transformed how enterprises deploy and manage applications, particularly through the use of container orchestration platforms like Kubernetes. This study investigates the performance efficiency of container orchestration in multi-cloud environments by evaluating key parameters such as deployment time, resource utilization, latency, scalability, and fault tolerance. A comparative analysis is conducted using Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), and Azure Kubernetes Service (AKS), supported by statistica
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DOSPINESCU, Octavian, Catalin STRIMBEI, Roxana-Marina STRAINU, and Alexandra NISTOR. "REST SOA Orchestration and BPM Platforms." Informatica Economica 21, no. 1/2017 (2017): 30–42. http://dx.doi.org/10.12948/issn14531305/21.1.2017.03.

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Anbarasu, Arivoli. "Container Orchestration at Scale: Comparing Kubernetes and Emerging Alternatives for Cloud-Native Applications." European Journal of Advances in Engineering and Technology 5, no. 11 (2018): 927–32. https://doi.org/10.5281/zenodo.15234680.

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Efficient container orchestration has become essential for scalability and reliability. Kubernetes remains the dominant orchestration platform, yet emerging alternatives offer unique advantages in performance, automation, and resource efficiency. Choosing the right solution requires balancing factors such as workload demands, fault tolerance, and operational overhead. Therefore, evaluating container orchestration platforms is critical for optimizing large-scale deployments. We propose a framework that helps organizations optimize scalability, automation, and resilience in container orchestrati
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Jose, Sebastian. "Advanced Strategies for Container Orchestration in Multi - Cloud Environments: Towards Enhanced Performance, Scalability, and Resilience." Journal of Research in Science and Engineering 7, no. 4 (2025): 55–60. https://doi.org/10.53469/jrse.2025.07(4).12.

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In the era of distributed cloud computing, effective container orchestration is crucial for managing workloads across multiple cloud platforms, ensuring optimal performance, scalability, and resilience. This paper explores advanced strategies for container orchestration in multi - cloud environments, focusing on techniques such as dynamic resource allocation, automated workload distribution, and fault tolerance mechanisms. By examining and extending orchestration platforms like Kubernetes and OpenShift to operate seamlessly across diverse cloud providers, the study aims to minimize vendor lock
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Sunil Sudhakaran. "Security-embedded orchestration for regulatory-heavy industries on cloud platforms." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 961–74. https://doi.org/10.30574/wjaets.2025.15.3.0991.

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The advent of cloud computing has revolutionized the way businesses operate, especially in regulatory-heavy industries that must adhere to stringent compliance requirements. However, ensuring the security and compliance of cloud orchestration frameworks remains a significant challenge. This paper proposes a novel model for security-embedded orchestration, specifically designed to address the security and compliance needs of industries such as finance, healthcare, and telecommunications. The model integrates a series of security controls and compliance validation processes directly into the orc
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Dissertations / Theses on the topic "Orchestration Platforms"

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Pérez, Rico Juan Luis. "Orchestration of distributed ingestion and processing of IoT data for fog platforms." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/664086.

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In recent years there has been an extraordinary growth of the Internet of Things (IoT) and its protocols. The increasing diffusion of electronic devices with identification, computing and communication capabilities is laying ground for the emergence of a highly distributed service and networking environment. The above mentioned situation implies that there is an increasing demand for advanced IoT data management and processing platforms. Such platforms require support for multiple protocols at the edge for extended connectivity with the objects, but also need to exhibit uniform internal data
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Dridi, Mohamed Amine. "Platform-based 5G service design and orchestration." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS002.

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A partir de la cinquième génération, les réseaux mobiles devront supporter une croissance exponentielle du nombre d'appareils connectés de différents types, ceci étant l'un des piliers d'une stratégie globale de numérisation accélérée. En plus de cette croissance de connectivité, ces réseaux devront également supporter et offrir divers services pour de nouvelles industries aux exigences hétérogènes. Les concepteurs et développeurs de réseaux 5G sont alors contraints de fournir de nouvelles solutions et d'optimiser celles qui existent pour contenir les demandes croissantes de bande passante et
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Cancela, Paulo Filipe Neves Bento. "Orchestration of heterogeneous middleware services and its application to a comand and control platform." Master's thesis, FCT - UNL, 2009. http://hdl.handle.net/10362/1970.

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MSC Dissertation in Computer Engineering<br>Distributed objects was, until recently, the leading technology in the design and implementation of component-based architectures, such as the ones based on services, better known as Service-Oriented Architectures (SOA). Although established in the market for more than a decade, and therefore mature, these technologies have failed to overcome the porting of the SOA concept to the Web. Web services are a recent technology that has been growing in the last few years. Their acceptance has increased over enterprises and organizations as they seem to
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Karkera, Sohan Sadanand. "Implementation of Distributed Cloud System Architecture using AdvancedContainer Orchestration, Cloud Storage, and Centralized Database for a Web-based Platform." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613750624346862.

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Susani, Nahid. "On Open Platform for Multi-Access Edge Computing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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The Idea of moving the functions of centralized cloud computing to the edge devices of the network, brought several advantages such as low latency, higher spectral efficiency, supporting machine to machine communication. The idea of decoupling network function from infrastructure well applied for this revolution. Therefor, the concept of software defined network (SDN) and network function virtualization considered as emerging solutions for the future network. With applying NFV in the edge devices, computing services and also using network functions would be possible through using virtual mach
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Carrión, Collado Abel Antonio. "Management of generic and multi-platform workflows for exploiting heterogeneous environments on e-Science." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/86179.

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Scientific Workflows (SWFs) are widely used to model applications in e-Science. In this programming model, scientific applications are described as a set of tasks that have dependencies among them. During the last decades, the execution of scientific workflows has been successfully performed in the available computing infrastructures (supercomputers, clusters and grids) using software programs called Workflow Management Systems (WMSs), which orchestrate the workload on top of these computing infrastructures. However, because each computing infrastructure has its own architecture and each scien
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Pérennou, Loïc. "Virtual machine experience design : a predictive resource allocation approach for cloud infrastructures." Thesis, Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1246/document.

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L’un des principaux défis des fournisseurs de services cloud est d’offrir aux utilisateurs une performance acceptable, tout en minimisant les besoins en matériel et énergie. Dans cette thèse CIFRE menée avec Outscale, un fournisseur de cloud, nous visons à optimiser l’allocation des ressources en utilisant de nouvelles sources d’information. Nous caractérisons la charge de travail pour comprendre le stress résultant sur l’orchestrateur, et la compétition pour les ressources disponibles qui dégrade la qualité de service. Nous proposons un modèle pour prédire la durée d’exécution des VMs à parti
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Pérennou, Loïc. "Virtual machine experience design : a predictive resource allocation approach for cloud infrastructures." Electronic Thesis or Diss., Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1246.

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L’un des principaux défis des fournisseurs de services cloud est d’offrir aux utilisateurs une performance acceptable, tout en minimisant les besoins en matériel et énergie. Dans cette thèse CIFRE menée avec Outscale, un fournisseur de cloud, nous visons à optimiser l’allocation des ressources en utilisant de nouvelles sources d’information. Nous caractérisons la charge de travail pour comprendre le stress résultant sur l’orchestrateur, et la compétition pour les ressources disponibles qui dégrade la qualité de service. Nous proposons un modèle pour prédire la durée d’exécution des VMs à parti
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Oliveira, Ana Sofia da Silva Brito de. "Development of an Orchestration Engine for the DS4NP Platform." Master's thesis, 2020. http://hdl.handle.net/10316/92477.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia<br>The demand for qualified people capable of extracting value from the ever-increasing volume of data is growing. More data scientists need to be trained, but training can be a time-consuming task due to the diversity of disciplines it involves. A more gradual learning curve can be achieved by abstracting programming languages from the scientists’ path. The ultimate goal of the Data Science for Non-Programmers project (DataScience4NP) is to implement data science practices rightfully without req
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Cunha, Francisco José Marcelino e. "Optimizing Service Orchestration in OutSystems." Master's thesis, 2019. http://hdl.handle.net/10362/92284.

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The growing demand for continuous development and deployment is causing many to steer away from the traditional monolithic architectural style and opt instead for Service- Oriented Architectures (SOAs). Adopting an architecture that is based on loosely-coupled services leads to enhanced modularity and flexibility, further translated into a philosophy of iterative, evolutionary development. The benefits of this development pattern were also made available in the OutSystems low-code platform, with the introduction of services as a new development building-block. Moreover, the independence
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Books on the topic "Orchestration Platforms"

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Wulfert, Tobias. Selected Perspectives on Platforms in e-Commerce Ecosystems: Recommendations for the Design and Management of Boundary Resources and Guidance on the Orchestration of Ecosystem Participants. Springer Fachmedien Wiesbaden GmbH, 2024.

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Orchestrating a Platform Ecosystem. the Effects of Platform Control on Platform Performance. GRIN Verlag GmbH, 2018.

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Tiwana, Amrit. Knowledge Management Kit: Orchestrating IT, Strategy, and Knowledge Platforms. Pearson Education, Limited, 2002.

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Tiwana, Amrit. The Knowledge Management Toolkit: Orchestrating IT, Strategy, and Knowledge Platforms (2nd Edition). 2nd ed. Prentice Hall PTR, 2002.

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The Knowledge Management Toolkit: Orchestrating IT, Strategy, and Knowledge Platforms (2nd Edition). Prentice Hall PTR, 2002.

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Lenz, Gunther, and Shivakumar Gopalakrishnan. Hands-On Kubernetes on Azure: Run Your Applications Securely and at Scale on the Most Widely Adopted Orchestration Platform. Packt Publishing, Limited, 2019.

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Diaz, Francesco. Cloud Data Design, Orchestration, and Management Using Microsoft Azure: Master and Design a Solution Leveraging the Azure Data Platform. Apress, 2018.

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Book chapters on the topic "Orchestration Platforms"

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Vazquez, Antonio. "Container Orchestration Platforms." In Certification Study Companion Series. Apress, 2024. https://doi.org/10.1007/979-8-8688-1080-0_10.

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Hachinger, Stephan, Martin Golasowski, Jan Martinovič, et al. "Leveraging High-Performance Computing and Cloud Computing with Unified Big-Data Workflows: The LEXIS Project." In Technologies and Applications for Big Data Value. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_8.

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AbstractTraditional usage models of Supercomputing centres have been extended by High-Throughput Computing (HTC), High-Performance Data Analytics (HPDA) and Cloud Computing. The complexity of current compute platforms calls for solutions to simplify usage and conveniently orchestrate computing tasks. These enable also non-expert users to efficiently execute Big Data workflows. In this context, the LEXIS project (‘Large-scale EXecution for Industry and Society’, H2020 GA 825532, https://lexis-project.eu) sets up an orchestration platform for compute- and data-intensive workflows. Its main objec
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Vassilev, Vassil, Sylvia Ilieva, Iva Krasteva, Irena Pavlova, Dessisslava Petrova-Antonova, and Wiktor Sowinski-Mydlarz. "AI-Based Hybrid Data Platforms." In Data Spaces. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98636-0_8.

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AbstractThe current digital transformation of many businesses and the exponential growth of digital data are two of the key factors of digital revolution. For the successful meeting of high expectations, the data platforms need to employ the recent theoretical, technological, and methodological advances in contemporary computing and data science and engineering. This chapter presents an approach to address these challenges by combining logical methods for knowledge processing and machine learning methods for data analysis into a hybrid AI-based framework. It is applicable to a wide range of pr
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Parker, Geoffrey G. "Business Model Innovation and the Rise of Technology Giants." In Perspectives on Digital Humanism. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86144-5_22.

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AbstractTechnology giants owe much of their success to fundamental improvements in the science and technology of information and communications technology. However, complementary advancements were also necessary, and, much as firms had to learn to incorporate electricity in the last nineteenth and early twentieth centuries, we posit that the giant platforms have learned to harness the contributions of external actors in order to grow more rapidly than would otherwise have been possible. Thus, the drivers of the dramatic rise of the tech giant platform firm can be viewed as a business model inn
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Chaudhary, Hafiz Ahmad Awais, Ivan Guevara, Jobish John, et al. "Model-Driven Engineering in Digital Thread Platforms: A Practical Use Case and Future Challenges." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19762-8_14.

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AbstractThe increasing complexity delivered by the heterogeneity of the cyber-physical systems is being addressed and decoded by edge technologies, IoT development, robotics, digital twin engineering, and AI. Nevertheless, tackling the orchestration of these complex ecosystems has become a challenging problem. Specially the inherent entanglement of the different emerging technologies makes it hard to maintain and scale such ecosystems. In this context, the usage of model-driven engineering as a more abstract form of glue-code, replacing the boilerplate fashion, has improved the software develo
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Bolovinou, Anastasia, Georgios Spanos, Antonios Lalas, et al. "Open and Modular Service-Oriented CCAM Architecture." In Lecture Notes in Mobility. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71793-2_3.

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AbstractSeamless integration of new types of mobility such as those realized by Connected Automated Vehicles (CAVs) into the existing public transport service requires new service-oriented orchestration platforms. In this work, we present a framework for automated mobility of passengers and goods, realized by the service-oriented architecture of the EU-funded research project SHOW (GA No 857730). As part of the framework, intra-systems and cloud-to-everything interfaces are proposed, while high-level design specifications of architecture alternatives are critically reviewed. An actual example
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Barua, Biman, and M. Shamim Kaiser. "A Methodological Framework of Containerized Microservices Orchestration and Provisioning in the Cloud: A Case Study of Online Travel Platforms." In Challenges and Opportunities for Innovation in India. CRC Press, 2024. https://doi.org/10.1201/9781003606260-33.

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Arlotto, Pam W., and Susan P. Irby. "Collaborate, Create, and Innovate: Platform Thinking." In Orchestrating Value. Productivity Press, 2020. http://dx.doi.org/10.4324/9780429429507-6.

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Arlotto, Pam W., and Susan P. Irby. "The Care Management Platform, Its Layers and Hubs." In Orchestrating Value. Productivity Press, 2020. http://dx.doi.org/10.4324/9780429429507-7.

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Sharma, Hitesh Kumar, Anuj Kumar, Sangeeta Pant, and Mangey Ram. "Kubernetes: An Advanced Orchestration Platform." In DevOps: A Journey from Microservice to Cloud Based Containerization. River Publishers, 2023. http://dx.doi.org/10.1201/9781032624310-9.

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Conference papers on the topic "Orchestration Platforms"

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Yekollu, Roop Kumar, Shivkumar V. Haldikar, Tejal Bhimraj Ghuge, Omer Farook Mohideen Abdul Kader, and Sammip Sunil Biradar. "Resource Management and Scalability in Container Orchestration Platforms: A Comparative Study." In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2024. https://doi.org/10.1109/cicn63059.2024.10847490.

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Raith, Philipp, Gourav Rattihalli, Aditya Dhakal, et al. "Opportunistic Energy-Aware Scheduling for Container Orchestration Platforms Using Graph Neural Networks." In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2024. http://dx.doi.org/10.1109/ccgrid59990.2024.00042.

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Usman, Muhammad, Simone Ferlin, and Anna Brunstrom. "Performance Analysis of Lightweight Container Orchestration Platforms for Edge-Based IoT Applications." In 2024 IEEE/ACM Symposium on Edge Computing (SEC). IEEE, 2024. https://doi.org/10.1109/sec62691.2024.00032.

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Rajabzadeh, Parsa, Abdelkader Outtagarts, Yassine Hadjadj-Aoul, and Soraya Ait-Chellouche. "Next-Gen AI Orchestration Platform." In 2025 28th Conference on Innovation in Clouds, Internet and Networks (ICIN). IEEE, 2025. https://doi.org/10.1109/icin64016.2025.10942771.

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Wang, Jianlin, Yangkang Wei, Ge Zhang, Wenli Zhang, Lijun Zhang, and Ke Xu. "Low-code Platform Based on Graphical Process Logic Orchestration." In 2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE). IEEE, 2024. https://doi.org/10.1109/cbase64041.2024.10824333.

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Wijesinghe, Hiran, Andi Barbour, Lutz Wiegart, et al. "Bluesky and Raydata: An Integrated Platform for Adaptive Experiment Orchestration." In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/scw63240.2024.00271.

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Arcas, Gabriel, and Tudor Cioara. "Data Orchestration Platform for AI Workflows Execution Across Computing Continuum." In 15th International Conference on Cloud Computing and Services Science. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013140600003950.

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Li, Jinyang, Yizhuo Chen, Tomoyoshi Kimura, et al. "Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration." In 2024 33rd International Conference on Computer Communications and Networks (ICCCN). IEEE, 2024. http://dx.doi.org/10.1109/icccn61486.2024.10637580.

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Troia, Sebastian, Mattia Giovanni Spina, Gianluca Davoli, Nicolò Giannini, Antonio Iera, and Guido Maier. "An Orchestration Platform for In-Network DDoS Attack Detection with P4 Programmable Switches." In 2025 IEEE 26th International Conference on High Performance Switching and Routing (HPSR). IEEE, 2025. https://doi.org/10.1109/hpsr64165.2025.11038892.

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Huang, Zhenlin, Xing Wen, Jinwei Zhu, et al. "Artificial Intelligence Technology Based on the Internet of Things Big Data Visualization Orchestration Platform." In 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON). IEEE, 2024. http://dx.doi.org/10.1109/nmitcon62075.2024.10699049.

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Reports on the topic "Orchestration Platforms"

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Sinha, Amisha. Challenges And Best Practices for Integrating Security Orchestration, Automation, And Response (SOAR) Platforms With Cloud Infrastructure. Iowa State University, 2024. https://doi.org/10.31274/cc-20250502-2.

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