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Artículos de revistas sobre el tema "Automated orchestration"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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1

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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2

Jahanbakhsh, Negin, Mario Vega-Barbas, Iván Pau, Lucas Elvira-Martín, Hirad Moosavi, and Carolina García-Vázquez. "Leveraging Retrieval-Augmented Generation for Automated Smart Home Orchestration." Future Internet 17, no. 5 (2025): 198. https://doi.org/10.3390/fi17050198.

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The rapid growth of smart home technologies, driven by the expansion of the Internet of Things (IoT), has introduced both opportunities and challenges in automating daily routines and orchestrating device interactions. Traditional rule-based automation systems often fall short in adapting to dynamic conditions, integrating heterogeneous devices, and responding to evolving user needs. To address these limitations, this study introduces a novel smart home orchestration framework that combines generative Artificial Intelligence (AI), Retrieval-Augmented Generation (RAG), and the modular OSGi fram

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3

Nimdia, Abhishek. "Effectiveness of Automated Testing in Container Orchestration." American Journal of Engineering and Technology 07, no. 04 (2025): 34–42. https://doi.org/10.37547/tajet/volume07issue04-05.

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This study examines the efficiency of automated testing in container orchestration using Kubernetes as an example. Modern IT environments require rapid, reliable, and scalable application deployment, made possible by advancements in containerization technologies and CI/CD automation. The research is based on an analysis of existing studies. The paper explores the theoretical foundations of container orchestration, including Kubernetes architecture, and the principles of automated testing, encompassing unit, integration, performance, and security testing. Practical aspects of integrating testin

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4

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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5

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 (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 integ

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6

Talaseela, Rahul Kiran. "Intelligent Workflow Orchestration for Enterprise Contexts." European Journal of Computer Science and Information Technology 13, no. 27 (2025): 27–39. https://doi.org/10.37745/ejcsit.2013/vol13n272739.

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Intelligent workflow orchestration has emerged as a pivotal technology for enterprises seeking to optimize operations in today's dynamic business landscape. This article explores advanced orchestration strategies that leverage business rules and hierarchical context to determine automated routing and task execution across enterprise environments. Event-driven architecture forms the foundation of modern workflow orchestration, enabling real-time responses to business events across interconnected systems. By mapping organizational hierarchies into the orchestration layer, businesses ensure appro

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7

Nellore, Nitya Sri. "Automated Cross-Cloud Security Orchestration: A Framework for Consistent Security Policy Enforcement in Multi-Cloud." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–7. https://doi.org/10.55041/ijsrem29572.

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In the evolving landscape of multi-cloud environments, maintaining consistent security policy enforcement is a paramount challenge. The heterogeneity of cloud service providers (CSPs), coupled with disparate security mechanisms, necessitates an automated approach to security orchestration. This paper proposes a novel framework for Automated Cross-Cloud Security Orchestration (ACCSO), focusing on consistent policy enforcement, real-time adaptability, and reduced human intervention. Metrics including response time, policy compliance rate, and operational overhead are evaluated across experimenta

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8

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 (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 a

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9

Rajesh Kesavalalji. "Scalable and fault-tolerant microservices architecture: Leveraging AI-driven orchestration in distributed cloud systems." International Journal of Science and Research Archive 13, no. 1 (2024): 3501–11. https://doi.org/10.30574/ijsra.2024.13.1.1566.

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Artificial intelligence in microservices orchestration takes cloud computing to the next level, creating a fully automated, scalable, and efficient environment. Ai orchestration can optimize resource allocation along with increased fault tolerance in predictive analytics for large applications. This paper speaks about the contribution of AI in microservices orchestration, which has real-life applications like Netflix, Uber, and Amazon. Major differences between AI-enhanced microservices management and traditional microservices management include reliability in services through AI, performance,

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10

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 (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 mit

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11

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 (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 empha

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12

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 (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 empha

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13

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 (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 be

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14

Tarun Kumar Chatterjee. "AI-Enabled Cloud Orchestration for Automated Workflows: A Paradigm Shift in Enterprise IT Operations." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 3289–96. https://doi.org/10.32628/cseit25112809.

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AI-enabled cloud orchestration represents a fundamental paradigm shift in enterprise IT operations, transforming traditional reactive management into proactive, self-optimizing environments. The integration of artificial intelligence with cloud infrastructure enables organizations to predict workloads, optimize resource allocation, and automate complex tasks across distributed computing environments. This technological evolution addresses the increasing complexity of enterprise workflows where manual intervention becomes impractical due to scale and intricacy. As digital transformation acceler

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15

Hareesh, Kumar Rapolu. "Container Orchestration in Modern Devops." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 6 (2020): 1–5. https://doi.org/10.5281/zenodo.14900582.

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The following research project has examined the effective implications of container orchestration in modern DevOps. It has emphasised the vital role in automating the management of containerised applications. At the same time, understanding the key benefits such as scalability with simplified automated deployment followed by high availability and developing resource utilisation has helped to improve resource utilization. Integration of key technologies such as Docker Swarm with Apache Mesos and Kubernetes has posed to get adhered with the agile workflows and thus is supported to modern DevOps.

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16

C., Sofia Rute, Doug Dykeman, Peter Urbanetz, Akram Galal, and Dave Dushyant Anirudhdhabhai. "Dynamic, Context-Aware Cross-Layer Orchestration of Containerized Applications." IEEE Access 11 (August 1, 2023): 93129–50. https://doi.org/10.1109/ACCESS.2023.3307026.

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Container orchestration handles the semi-automated management of applications across Edge-Cloud, providing features such as autoscaling, high availability, and portability. Having been developed for Cloud-based applications, container orchestration faces challenges in the context of decentralized Edge-Cloud environments, requiring a higher degree of adaptability in the verge of mobility, heterogeneous networks, and constrained devices. In this context, this perspective paper aims at igniting discussion on the aspects that a dynamic orchestration approach should integrate to support an elastic

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17

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 (2018): 1292–306. http://dx.doi.org/10.1109/tnsm.2018.2867827.

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18

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 (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 ag

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19

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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20

Bharatveeranjaneya Reddy Devagiri. "DataOps and automation: Revolutionizing modern data management through agile methodologies." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 207–11. https://doi.org/10.30574/wjaets.2025.15.3.0912.

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This article explores the transformative impact of DataOps and automation methodologies in modern data management practices. Through comprehensive analysis of infrastructure components, testing frameworks, pipeline orchestration, and observability systems, the research demonstrates how organizations are revolutionizing their approach to data operations. The article examines the evolution from traditional data management to automated, process-driven frameworks, highlighting the crucial role of Infrastructure as Code, automated testing, workflow orchestration, and comprehensive monitoring system

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21

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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22

Sathesh Suseendran. "Automation and Orchestration in NVMe over Fibre Channel Environments: A Comprehensive Analysis." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 2334–40. https://doi.org/10.30574/wjaets.2025.15.3.1096.

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Non-Volatile Memory Express over Fibre Channel (NVMe-FC) represents a significant advancement in enterprise storage technology, delivering substantial performance improvements compared to traditional protocols while maintaining compatibility with existing infrastructure. Implementing comprehensive automation and orchestration frameworks has become essential for organizations seeking to maximize the benefits of NVMe-FC deployments. Automated provisioning dramatically reduces deployment times and configuration errors while ensuring optimal performance through precise parameter settings. API inte

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23

Sowmith Daram, Prof.(Dr.) Arpit Jain, and Er. Om Goel. "Containerization and Orchestration: Implementing OpenShift and Docker." Innovative Research Thoughts 7, no. 4 (2021): 255–63. http://dx.doi.org/10.36676/irt.v7.i4.1457.

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Containerization and orchestration have revolutionized the deployment and management of applications, offering unprecedented levels of efficiency, scalability, and consistency. This paper delves into the intricacies of implementing two leading technologies in this domain: Docker for containerization and OpenShift for orchestration. Docker has emerged as a foundational tool that packages applications and their dependencies into portable containers, enabling consistent execution across various environments. Meanwhile, OpenShift, a Kubernetes-based platform, extends Docker’s capabilities by provi

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24

Shamsuddeen Rabiu, Abubakar Abba, and Mustapha Ahmed Abubakar. "Autonomous workload distribution for container-based micro services environments." World Journal of Advanced Engineering Technology and Sciences 9, no. 2 (2023): 242–50. http://dx.doi.org/10.30574/wjaets.2023.9.2.0226.

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Microservice architecture represents a cloud application design approach that transfers the intricacies from the conventional monolithic applications to the infrastructure. It involves breaking down the application into small, containerized microservices, each responsible for a specific functional requirement. These microservices can be independently deployed, scaled, and tested through automated orchestration systems. Our paper introduces an autonomous system for distributing workloads among containerized microservices within the cloud like a swarm, designed specifically for microservices ope

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25

Vivek, Prasanna Prabu. "Optimizing Microservices with Kubernetes for Enterprise Applications." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 5, no. 3 (2019): 1–9. https://doi.org/10.5281/zenodo.15155635.

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As enterprises increasingly adopt microservices to improve scalability, agility, and deployment speed, the complexity of managing and orchestrating these distributed systems becomes a significant challenge. Kubernetes, an open-source container orchestration platform, has emerged as the de facto standard for deploying and managing microservices in production environments. This white paper explores how Kubernetes optimizes microservice-based architectures for enterprise-scale applications, offering capabilities such as automated deployment, load balancing, self-healing, and resource efficiency.

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26

Czekierda, Łukasz, Krzysztof Zieliński, and Sławomir Zieliński. "Automated Orchestration of Online Educational Collaboration in Cloud-based Environments." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 1 (2021): 1–26. http://dx.doi.org/10.1145/3412381.

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Integrated collaboration environments (ICEs) are widely used by corporations to increase productivity by fostering groupwide and interpersonal collaboration. In this article, we discuss the enhancements of such environment needed to build an educational ICE (E-ICE) that addresses the specific needs of educational users. The motivation for the research was the Małopolska Educational Cloud (MEC) project conducted by AGH University and its partners. The E-ICE developed by MEC project fosters collaboration between universities and high schools by creating an immersive virtual collaboration space.

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27

Frommel, C., F. Krebs, T. Haase, et al. "Automated manufacturing of large composites utilizing a process orchestration system." Procedia Manufacturing 51 (2020): 470–77. http://dx.doi.org/10.1016/j.promfg.2020.10.066.

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28

Purahong, B., J. Sithiyopasakul, P. Sithiyopasakul, A. Lasakul, and C. Benjangkaprasert. "Automated Resource Management System Based upon Container Orchestration Tools Comparison." Journal of Advances in Information Technology 14, no. 3 (2023): 501–9. http://dx.doi.org/10.12720/jait.14.3.501-509.

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Katta, Tejaswi Bharadwaj. "AI-Enhanced Orchestration in Hybrid Cloud Enterprise Integration: Transforming Enterprise Data Flows." European Journal of Computer Science and Information Technology 13, no. 9 (2025): 92–103. https://doi.org/10.37745/ejcsit.2013/vol13n992103.

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Hybrid cloud enterprise integration presents a formidable challenge as organizations strive to harmonize legacy systems with modern, cloud-native applications. This article investigates the potential of AI-enhanced orchestration to dynamically manage integration workflows across such heterogeneous environments. By embedding artificial intelligence within orchestration platforms, enterprises can achieve real-time optimization of data flows, resource allocation, and security compliance, transforming static integration approaches into adaptive, self-healing systems. The article focuses on three k

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30

Naresh, Erukulla, Jain Vishal, and Puthraya Karthik. "Efficient Orchestration of AI Workloads: Data Engineering Solutions for Distributed Cloud Computing." Sarcouncil Journal of Applied Sciences 5, no. 3 (2025): 8–14. https://doi.org/10.5281/zenodo.15053639.

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The rapid expansion of artificial intelligence (AI) applications has increased the demand for efficient workload management in distributed cloud environments. This study explores AI-powered orchestration strategies to optimize workload execution, improve resource utilization, and enhance system scalability. By leveraging machine learning-based predictive analytics, automated scheduling, and dynamic resource allocation, AI-driven orchestration reduces execution time, improves fault tolerance, and enhances network efficiency. Comparative analysis with traditional workload management techniques h

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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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32

Gaurav Agrawal. "Human-AI Orchestration - The Future of Distributed Systems." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 2165–74. https://doi.org/10.32628/cseit251112227.

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The integration of Artificial Intelligence in distributed systems orchestration marks a transformative shift in how organizations design, implement, and manage complex architectures. This advancement represents a fundamental evolution from traditional static workflows to dynamic, intelligent distributed systems. AI orchestration addresses critical challenges in modern distributed computing, including resource optimization, service latency, and system reliability. Through machine learning algorithms and advanced analytics, these systems enable predictive scaling, automated performance optimizat

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Bouami, Hind, and Patrick Millot. "Healthcare Delivery System Security: the orchestration of automated and organizational solutions." IFAC-PapersOnLine 52, no. 19 (2019): 127–32. http://dx.doi.org/10.1016/j.ifacol.2019.12.123.

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Sravan Yella. "Algorithmic Campaign Orchestration: A Framework for Automated Multi-Channel Marketing Decisions." Journal of Computer Science and Technology Studies 7, no. 2 (2025): 323–31. https://doi.org/10.32996/jcsts.2025.7.2.33.

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This article examines the paradigm shift from traditional rule-based marketing automation to continuous experience optimization enabled by AI-driven decision engines. The article presents an architectural framework for real-time campaign orchestration systems that leverage predictive analytics, reinforcement learning, and natural language processing to dynamically personalize customer interactions across channels. Through multiple case studies across different industry sectors, the article demonstrates how these systems process multi-source data streams to make intelligent decisions in millise

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Sravan Yella. "Algorithmic Campaign Orchestration: A Framework for Automated Multi-Channel Marketing Decisions." Journal of Computer Science and Technology Studies 7, no. 2 (2025): 165–73. https://doi.org/10.32996/jcsts.2025.7.2.15.

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This article examines the paradigm shift from traditional rule-based marketing automation to continuous experience optimization enabled by AI-driven decision engines. The article presents an architectural framework for real-time campaign orchestration systems that leverage predictive analytics, reinforcement learning, and natural language processing to dynamically personalize customer interactions across channels. Through multiple case studies across different industry sectors, the article demonstrates how these systems process multi-source data streams to make intelligent decisions in millise

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36

Murcia, José Manuel Bernabé, Alejandro M. Zarca, and Antonio Skármeta. "BASTION: Beyond automated service and security orchestration for next-generation networks." Computer Networks 267 (July 2025): 111352. https://doi.org/10.1016/j.comnet.2025.111352.

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Li, Xi, Thomas DeiB, Josep Mangues-Bafalluy, et al. "Automating Vertical Services Deployments over the 5GT Platform." IEEE Communications Magazine 58, no. 7 (2020): 44–50. https://doi.org/10.1109/MCOM.001.1900582.

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This article presents a system for 5G networks that makes it possible to meet the diverse needs of vertical industries simultaneously sharing the same physical infrastructure. Orchestration, network slicing, edge computing, and federation are key technologies enabling industry verticals to have their own virtual networks, which might require aggregating transport networking and computing fabric, from the edge up to the core and cloud. Three novel building blocks are defined to meet these challenges in an automated manner: a vertical slicer as the entry point to create services and request slic

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Syed, Ziaurrahman Ashraf. "Building Automated BI Platforms: From Data Ingestion to Visualization." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 5, no. 2 (2019): 1–7. https://doi.org/10.5281/zenodo.13949502.

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In an era where data drives decision-making, Business Intelligence (BI) platforms have evolved from static reports to automated systems delivering real-time insights. This paper outlines a comprehensive approach to building automated BI platforms, starting from data ingestion to the final visualization layer. The discussion covers data pipeline orchestration, real-time processing, cloud integration, and AI-enhanced visual analytics. Key technologies such as ETL frameworks, cloud data warehouses, and modern visualization tools are explored with technical illustrations to provide a deeper unders

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39

Mthembu, Sabelo Justice, Ijeoma Noella Ezeji, and Matthew Adigun. "Orchestration Tools For Efficient Deployment of IoT Applications In Fog Computing: A Systematic Review." International Conference on Artificial Intelligence and its Applications 2023 (November 9, 2023): 146–51. http://dx.doi.org/10.59200/icarti.2023.021.

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Internet of Things (IoT) is the developing technology that enables devices to communicate without human interaction. IoT utilizes cloud computing services to collect and process data for IoT devices and to manage the device remotely. Cloud computing is not efficient enough to handle the fast stream of data produced by the IoT, therefore scaling up IoT applications to meet demands of high peak becomes easier and highly automated in fog computing. Containers are mostly used as virtualization solutions for IoT in fog computing. It enables the execution of small microservices to large applications

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Das, Anauksa. "Automation and Orchestration in Cyber Threat Intelligence (CTI): A Survey." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 1964–70. https://doi.org/10.22214/ijraset.2025.72574.

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Cyber Threat Intelligence (CTI) has become an essential part of security operations with the sudden rise in cyber threats. To manage the collection, enrichment, correlation, and response workflows for CTI, several automation and orchestration technologies, such as SOAR (Security Orchestration, Automation, and Response) platforms and CTI pipelines are utilised. This survey reviews open-source as well as commercial SOAR platforms e.g. Splunk SOAR, Cortex XSOAR, IBM QRadar SOAR, TheHive, Shuffle) as well as frameworks used in CTI such as MISP and OpenCTI, comparing their features, integration cap

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Fernandez, Vidal, and Valera. "Enabling the Orchestration of IoT Slices through Edge and Cloud Microservice Platforms." Sensors 19, no. 13 (2019): 2980. http://dx.doi.org/10.3390/s19132980.

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This article addresses one of the main challenges related to the practical deployment of Internet of Things (IoT) solutions: the coordinated operation of entities at different infrastructures to support the automated orchestration of end-to-end Internet of Things services. This idea is referred to as “Internet of Things slicing” and is based on the network slicing concept already defined for the Fifth Generation (5G) of mobile networks. In this context, we present the architectural design of a slice orchestrator addressing the aforementioned challenge, based on well-known standard technologies

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42

Sina Ahmadi. "Container security in the cloud: Hardening orchestration platforms against emerging threats." World Journal of Advanced Research and Reviews 4, no. 1 (2019): 064–74. https://doi.org/10.30574/wjarr.2019.4.1.0077.

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Container proliferation and platform orchestration tools like Kubernetes have accelerated the deployment and scalability of applications in the cloud. However, these advances come at a cost, and the old and new environments are vulnerable to lateral movement attacks, misconfiguration, unpatched container images, and inadequate access control. This paper explores comprehensive strategies to enhance container security, focusing on key areas: Network security policies, runtime security, access management, supply chain security, and orchestration platform security. The proposed framework emphasize

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43

Medisetty, Arunkumar. "Intelligent Data Flow Automation for AI Systems via Advanced Engineering Practices." International Journal of Computational Mathematical Ideas 13, no. 01 (2021): 957–68. https://doi.org/10.70153/ijcmi/2021.13101.

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Modern Artificial Intelligence (AI) systems demand seamless, scalable, and intelligent data flows to support real-time analytics, model training, and automated decision-making. However, traditional data pipelines are often rigid, manual, and inefficient, leading to delays, data silos, and suboptimal model performance. This research explores how advanced data engineering techniques—such as real-time data streaming, automated ETL/ELT processes, data orchestration, schema evolution, and intelligent data validation can automate and optimize the end-to-end data flow in AI systems. A comprehensive f

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44

Bohusevych, Oleksii, and Oleksandr Derevianchenko. "Leveraging K8s to implement PARKS.NET." Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics, no. 2 (2024): 41–48. https://doi.org/10.17721/1812-5409.2024/2.7.

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An approach to implementing PARCS (Parallel Asynchronous Recursive Control System) based on the Kubernetes container orchestration technology is presented. Its automated deployment is then exemplified by employing Microsoft Azure, a platform providing a managed solution for the technology’s infrastructure. Finally, the system is utilized to tackle an applicable mathematical problem, demonstrating the proposed framework's ease of use, speed, and effectiveness.

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Researcher. "LEVERAGING KUBERNETES AND AI FOR IMPROVED DISASTER RECOVERY IN CLOUD COMPUTING." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 1160–67. https://doi.org/10.5281/zenodo.14330367.

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This article presents a groundbreaking approach to disaster recovery in cloud computing by integrating Artificial Intelligence (AI) capabilities with Kubernetes container orchestration. The article introduces a novel multi-layered architecture that combines deep learning-based predictive analytics, automated recovery mechanisms, and intelligent resource optimization algorithms to enhance system resilience and minimize downtime. Our framework demonstrated remarkable improvements in key performance metrics through extensive testing across geographically distributed clusters, achieving a 73% redu

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Lee, Seunghwan, Linh-An Phan, Dae-Heon Park, Sehan Kim, and Taehong Kim. "EdgeX over Kubernetes: Enabling Container Orchestration in EdgeX." Applied Sciences 12, no. 1 (2021): 140. http://dx.doi.org/10.3390/app12010140.

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With the exponential growth of the Internet of Things (IoT), edge computing is in the limelight for its ability to quickly and efficiently process numerous data generated by IoT devices. EdgeX Foundry is a representative open-source-based IoT gateway platform, providing various IoT protocol services and interoperability between them. However, due to the absence of container orchestration technology, such as automated deployment and dynamic resource management for application services, EdgeX Foundry has fundamental limitations of a potential edge computing platform. In this paper, we propose Ed

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47

Prieto, L. P., K. Sharma, Ł. Kidzinski, M. J. Rodríguez-Triana, and P. Dillenbourg. "Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data." Journal of Computer Assisted Learning 34, no. 2 (2018): 193–203. http://dx.doi.org/10.1111/jcal.12232.

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Nowsath, N. Mohammed. "IoT BIOMETRIC ATTENDANCE SYSTEM NEXUS WITH AUTOMATED DATA STREAMLINING AND SOFTWARE ORCHESTRATION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29389.

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Biometric technology involves the recognition and authentication of individuals by examining unique characteristics of the human body. In modern times, attendance is taken traditionally in educational institutions using paper and pen, it increases the workload for teachers and also takes time. The purpose of this design is to make a biometric system for students. As the world becomes modern and digitalized, so we need to make a portable system for attendance with an embedded software application. By this proposal, authorized access will be given to the teacher to activate the biometric for eac

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Engin, Zeydan, Turk Y., Aksoy B., and Tasbag Y.Y. "Post-Quantum Era in V2X Security: Convergence of Orchestration and Parallel Computation." IEEE Commun. Standards Mag. 6, no. 1 (2022): 76–82. https://doi.org/10.1109/MCOMSTD.0001.2100060.

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Along with the potential emergence of quantum computing, safety and security of new and complex communication services such as automated driving need to be redefined in the post-quantum era. To ensure reliable, continuous, and secure operation of these scenarios, quantum-resistant security algorithms (QRSAs) that enable secure connectivity must be integrated into the network management and orchestration systems of mobile networks. This article explores a road-map study of post-quantum era convergence with cellular connectivity using the Service & Computation Orchestrator (SCO) framework fo

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Vijay, Kumar Musipatla. "Analysing the Key Aspects of TMF Order Management in ServiceNow." European Journal of Advances in Engineering and Technology 11, no. 11 (2024): 117–23. https://doi.org/10.5281/zenodo.15607060.

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Order management is vital in telecom and IT service delivery, ensuring timely and accurate fulfillment of complex service requests. ServiceNow’s implementation of TMF (TeleManagement Forum) standards—particularly TMF622 (Product Order Management API) and TMF641 (Service Order Management API)—enables service providers to standardise and automate the end-to-end order lifecycle. Despite its potential, organisations often encounter challenges such as fragmented workflows, limited visibility into order status, and a lack of API compliance. This paper explores the key components of

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