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Journal articles on the topic 'Orchestration Platforms'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

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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Kateryna, Ostrovska, Sherstyanikh Mykita, Stovchenko Ivan, and Kaliberda Yury. "Research of the efficiency of computing services management platforms in the organization of fog computing." System technologies 6, no. 143 (2023): 101–19. http://dx.doi.org/10.34185/1562-9945-6-143-2022-09.

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The work is devoted to studying the effectiveness of computing service management platforms in the organization of Fog Computing. As part of the work, the effectiveness of container orchestration platforms with the Fog computing organization is being studied. During the research, it is necessary to complete the following tasks: 1) select literature, scientific publications and Internet articles necessary for the research; 2) inspect container orchestration platforms; 3) determine the key requirements and criteria for conducting the study; 4) design and implement an automatic testing utility; 5

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Subudhi, Srihari. "Effectiveness of AI/ML in SOAR (Security Automation and Orchestration) Platforms." International Journal of Science and Research (IJSR) 13, no. 8 (2024): 201–6. http://dx.doi.org/10.21275/mr24802085215.

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Mulpuri, Gowtham. "Container Orchestration: Experiences with Container Orchestration Platforms Like Docker Swarm, Kubernetes, and Nomad, Focusing on Scalability and Security Improvements." International Journal of Science and Research (IJSR) 10, no. 3 (2021): 1976–78. http://dx.doi.org/10.21275/sr24402110309.

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Hu, Jingbo, Taohua Ouyang, William X. Wei, and Jiawei Cai. "How Do Manufacturing Enterprises Construct E-Commerce Platforms for Sustainable Development? A Case Study of Resource Orchestration." Sustainability 12, no. 16 (2020): 6640. http://dx.doi.org/10.3390/su12166640.

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The existing literatures mainly focus on the pricing, strategic significance and sustainable development characteristics of the e-commerce platform, and lack deep research on mechanisms in the process of construction like main structure of recourses and driving force. This paper takes Haier as a Chinese example and explores how manufacturing enterprises create and develop the sustainable e-commerce platform. The research findings show that: (1) An e-commerce platform respectively carries the functions of sales channels, service differences and innovation incubation in different stages of the m

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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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Casellas, Ramon, Ricardo Martínez, Ricard Vilalta, and Raül Muñoz. "Control, Management and Orchestration of Optical Networks: Evolution, Trends and Challenges." Journal of Lightwave Technology 36, no. 7 (2018): 1390–402. https://doi.org/10.1109/JLT.2018.2793464.

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Automating the provisioning of telecommunications services, deployed over a heterogeneous infrastructure (in terms of domains, technologies, and management platforms), remains a complex task, yet driven by the constant need to reduce costs and service deployment time. This is more so, when such services are increasingly conceived around interconnected functions and require allocation of computing, storage, and networking resources. This automation drives the development of service and resource orchestration platforms that extend, integrate, and build on top of existing approaches, macroscopica

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Joshua Idowu Akerele, Abel Uzoka, Pascal Ugochukwu Ojukwu, and Olugbenga Jeremiah Olamijuwon. "Minimizing downtime in E-Commerce platforms through containerization and orchestration." International Journal of Multidisciplinary Research Updates 8, no. 2 (2024): 079–86. http://dx.doi.org/10.53430/ijmru.2024.8.2.0056.

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Minimizing downtime in e-commerce platforms is critical for maintaining financial stability and customer satisfaction. This paper explores the impact of containerization and orchestration technologies in achieving this goal. We begin by highlighting the detrimental effects of downtime and the importance of reliable e-commerce services. The role of containerization in providing consistency, isolation, and scalability is examined, along with its implementation in e-commerce platforms. We then delve into orchestration tools such as Kubernetes and Docker Swarm, discussing their benefits in automat

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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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Jovanovski, Borče. "VIRTUALIZED PLATFORMS FOR NETWORK RESOURCES ORCHESTRATION AND MANAGEMENT." Journal of Electrical Engineering and Information Technologies 5, no. 1 (2020): 47–59. http://dx.doi.org/10.51466/jeeit2051047j.

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Jovanovski, Borče. "VIRTUALIZED PLATFORMS FOR NETWORK RESOURCES ORCHESTRATION AND MANAGEMENT." Journal of Electrical Engineering and Information Technologies 5, no. 1 (2020): 47–59. http://dx.doi.org/10.51466/jeeit2051047j.

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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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Rafiq, Adeel, Asif Mehmood, Talha Ahmed Khan, Khizar Abbas, Muhammad Afaq, and Wang-Cheol Song. "Intent-Based End-to-End Network Service Orchestration System for Multi-Platforms." Sustainability 12, no. 7 (2020): 2782. http://dx.doi.org/10.3390/su12072782.

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On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV) provides it by virtualizing the existing 5G network infrastructure. NFV crafts various virtual networks on a shared physical network, but one of the core challenges in future 5G networks is to automate the modeling of Virtualized Network Functions (VNFs) and end-to-end Network Service (NS) orchestration with less human interaction. Traditionally, the descriptor of VNF and NS is created manually, which requires expert-level skills. This manual approach has a big threat of human error, which can be

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Nelavelli, Sanketh. "Cloud Orchestration in Aviation: Real-Time Analytics and Operational Efficiency." European Journal of Computer Science and Information Technology 13, no. 34 (2025): 69–78. https://doi.org/10.37745/ejcsit.2013/vol13n346978.

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Cloud orchestration technologies are fundamentally transforming aviation operations, enabling unprecedented levels of efficiency, agility, and reliability for an industry constrained by tight profit margins and complex operational requirements. This comprehensive assessment evaluates how container orchestration platforms like Kubernetes and ECS-Fargate address the unique challenges of airline operations through microservices architecture, multi-region deployment strategies, and edge computing implementations. The transformation has produced remarkable outcomes across multiple domains: real-tim

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Shah, Samarth, and Ujjawal Jain. "Comparison of Container Orchestration Engines." Integrated Journal for Research in Arts and Humanities 4, no. 6 (2024): 306–22. https://doi.org/10.55544/ijrah.4.6.24.

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Container orchestration engines have become essential for managing containerized applications in modern cloud-native architectures. These tools automate the deployment, scaling, networking, and management of containers, enabling seamless application lifecycle management. With a growing number of orchestration solutions available, understanding their features, strengths, and limitations is crucial for selecting the right platform. This paper presents a comparative analysis of prominent container orchestration engines, highlighting their core functionalities, architectural design, and suitabilit

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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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Wang, Yue, Choonhwa Lee, Shuyang Ren, Eunsam Kim, and Sungwook Chung. "Enabling Role-Based Orchestration for Cloud Applications." Applied Sciences 11, no. 14 (2021): 6656. http://dx.doi.org/10.3390/app11146656.

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With the rapidly growing popularity of cloud services, the cloud computing faces critical challenges to orchestrate the deployment and operation of cloud applications on heterogenous cloud platforms. Cloud applications are built on a platform model that abstracts away underlying platform-specific details, so that their orchestration can benefit from the abstract view and flexibility of the underlying platform configuration. However, considerable efforts are still required to properly manage complicated cloud applications. This paper proposes a model-driven approach to cloud application orchest

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Chara Eddine, Meftah Mohammed. "A Comparative Study of Formal Approaches for Web Service Oriented Architecture." Network and Communication Technologies 5, no. 2 (2020): 15. http://dx.doi.org/10.5539/nct.v5n2p15.

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The security in web service oriented architecture (WSOA) development has become a critical need and goal. WSOA as service-oriented architecture (SOA) designs the software as services and uses the services as platforms. Web services orchestration describes how web services can interact with each other from an operational perspective. Many languages allow expression of executable processes to implementing web services orchestration. These languages are used to describe how the interactions between multiple services are coordinated to achieve a goal. However, the operational semantics of each of

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Mallika Rao, Basaveni Siri, and Sai Santosh Goud Bandari. "Replacing AI Agents for Backend." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–8. https://doi.org/10.55041/ijsrem.ncft011.

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Abstract—Creating modern applications using a heavy backend is a big task for developers. Front end can be created easily using scripting languages like HTML, CSS, java script, react frameworks etc. and many low code tools like WordPress, Figma, Bolt etc., but creating a fully working backend is a difficult part for developers, students or startups. Instead of writing thousands of lines of code we can build applications using AI agents. Sounds unreal right? But yes, it’s possible we can replace maximum of our backend logic using AI agents. Traditional backend development involves significant m

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Tzanettis, Ioannis, Christina-Maria Androna, Anastasios Zafeiropoulos, Eleni Fotopoulou, and Symeon Papavassiliou. "Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications." Sensors 22, no. 5 (2022): 2061. http://dx.doi.org/10.3390/s22052061.

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Nowadays, various frameworks are emerging for supporting distributed tracing techniques over microservices-based distributed applications. The objective is to improve observability and management of operational problems of distributed applications, considering bottlenecks in terms of high latencies in the interaction among the deployed microservices. However, such frameworks provide information that is disjoint from the management information that is usually collected by cloud computing orchestration platforms. There is a need to improve observability by combining such information to easily pr

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Venkat Marella. "Comparative Analysis of Container Orchestration Platforms: Kubernetes vs. Docker Swarm." International Journal of Scientific Research in Science and Technology 11, no. 5 (2024): 526–43. https://doi.org/10.32628/ijsrst24105254.

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Novel software architecture patterns, including microservices, have surfaced in the last ten years to increase the modularity of applications and to simplify their development, testing, scaling, and component replacement. In response to these emerging trends, new approaches such as DevOps methods and technologies have arisen to facilitate automation and monitoring across the whole software construction lifecycle, fostering improved collaboration between software development and operations teams. The resource management (RM) strategies of Kubernetes and Docker Swarm, two well-known container or

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Ramon-Cortes, Cristian, Albert Serven, Jorge Ejarque, Daniele Lezzi, and Rosa M. Badia. "Transparent Orchestration of Task-based Parallel Applications in Containers Platforms." Journal of Grid Computing 16, no. 1 (2018): 137–60. http://dx.doi.org/10.1007/s10723-017-9425-z.

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Slamnik-Kriještorac, Nina, Erik de Britto e Silva, Esteban Municio, Henrique C. Carvalho de Resende, Seilendria A. Hadiwardoyo, and Johann M. Marquez-Barja. "Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context." Sensors 20, no. 14 (2020): 3852. http://dx.doi.org/10.3390/s20143852.

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By providing storage and computational resources at the network edge, which enables hosting applications closer to the mobile users, Multi-Access Edge Computing (MEC) uses the mobile backhaul, and the network core more efficiently, thereby reducing the overall latency. Fostering the synergy between 5G and MEC brings ultra-reliable low-latency in data transmission, and paves the way towards numerous latency-sensitive automotive use cases, with the ultimate goal of enabling autonomous driving. Despite the benefits of significant latency reduction, bringing MEC platforms into 5G-based vehicular n

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Ramadass, Rosh Perumpully. "Enterprise Kubernetes Management: A GitOps-Driven Approach to Multi-Cluster Orchestration." European Journal of Computer Science and Information Technology 13, no. 47 (2025): 50–60. https://doi.org/10.37745/ejcsit.2013/vol13n475060.

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Enterprise Kubernetes adoption has revolutionized cloud-native infrastructure management, driving organizations toward centralized control systems. The increasing complexity of distributed cluster management has led to the development of sophisticated platforms that leverage GitOps principles for orchestration. These platforms address critical challenges in configuration management, security compliance, and operational efficiency through automated workflows and standardized practices. The implementation of centralized management solutions has enabled organizations to achieve enhanced security

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Čilić, Ivan, Petar Krivić, Ivana Podnar Žarko, and Mario Kušek. "Performance Evaluation of Container Orchestration Tools in Edge Computing Environments." Sensors 23, no. 8 (2023): 4008. http://dx.doi.org/10.3390/s23084008.

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Edge computing is a viable approach to improve service delivery and performance parameters by extending the cloud with resources placed closer to a given service environment. Numerous research papers in the literature have already identified the key benefits of this architectural approach. However, most results are based on simulations performed in closed network environments. This paper aims to analyze the existing implementations of processing environments containing edge resources, taking into account the targeted quality of service (QoS) parameters and the utilized orchestration platforms.

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Bagnato, Alessandra, and Juan Cadavid. "Towards Model-Based System Engineering for Cyber-physical Systems in the MYRTUS Project." ACM SIGAda Ada Letters 44, no. 2 (2025): 66–70. https://doi.org/10.1145/3742939.3742950.

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The MYRTUS1 project aims at unlocking the new living dimension of Cyber Physical Systems (CPS) integrating edge, fog and cloud computing platforms. This integration requires the reinvention of programming languages and tools to orchestrate collaborative distributed and decentralised components. Additionally, components must be augmented with interface contracts covering both functional and non-functional properties. This paper describes the Model-based approach that will be used during the project, including the key cloud standard, the TOSCA (Topology and Orchestration Specification for Cloud

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Benson-Allott, Caetlin. "On Platforms." Film Quarterly 70, no. 4 (2017): 88–92. http://dx.doi.org/10.1525/fq.2017.70.4.88.

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Read in the context of the recent U.S. presidential election, Jackie (Pablo Larraín, 2016) and Christine (Antonio Campos, 2016) inspire important questions about how women are remembered and valued in political and media culture. Jackie explores Jacqueline Kennedy's orchestration of President Kennedy's funeral and legacy, and in so doing provides an inauspicious reminder of how long and how easily Americans have conflated celebrity and politics, how willingly that national audience has embraced national images over national substance. Christine, also organized around one woman's mediation of a

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Prem Nishanth Kothandarama. "Designing Developer Platforms for Cross-Cloud Portability and Scale." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 06 (2025): 3017–23. https://doi.org/10.47392/irjaeh.2025.0444.

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The recent ramp-up in multi-cloud strategy deployment has forced a redesign of the developer platform in terms of portability and scalability across the heterogeneous cloud world. In this review, we explore architectural and operational considerations for the deployment of developer platforms that run without compromise across multiple cloud providers. It provides a multidimensional view of a framework that includes architectural abstraction, developer experience, data management, performance engineering and security integration. Container orchestration, infrastructure as code and service mesh

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Cennamo, Carmelo, Pedro Oliveira, and Leid Zejnilovic. "Unlocking Innovation in Healthcare: The Case of the Patient Innovation Platform." California Management Review 64, no. 4 (2022): 47–77. http://dx.doi.org/10.1177/00081256221101657.

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Multisided platforms are new organizing forms that can boost innovation in the healthcare sector by empowering patients as innovators and facilitating the commercialization of innovations by and for patients. However, applying the playbook script for the platform model from other sectors may prove challenging given the distinctive nature of the healthcare services. Drawing on the case of a leading healthcare innovation platform in Europe, this article examines the platform’s role in identifying and enabling the development and diffusion of patient innovations. This involves three main roles (c

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Sahil Yadav. "Adaptive AI-Driven Network Orchestration for Self-Evolving Enterprise Data Platforms." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 1580–89. https://doi.org/10.30574/wjaets.2025.15.3.1087.

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This article presents a comprehensive theoretical framework for adaptive AI-driven network orchestration in enterprise data platforms, addressing the growing complexity and dynamic nature of modern data environments. The article introduces a self-evolving architectural construct that leverages advanced machine learning methodologies, specifically multi-agent reinforcement learning with proximal policy optimization, transformer-based anomaly detection, and temporal graph attention networks, to continuously monitor, predict, and optimize system resources without human intervention. The theoretic

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Shafeeq, Ur Rahaman. "Real-Time Data Orchestration in Cloud Environments: Optimizing Pipelines for Scalable Analytics." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 5 (2020): 1–9. https://doi.org/10.5281/zenodo.14352082.

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The growing reliance on cloud-based systems to handle scalable, real-time analytics demands advanced methods for dynamic management and orchestration of data flows. This article work targets the development of new strategies in cloud environments for real-time data orchestration among them, pipeline optimization is the primary concern to efficiently process large-scale, diverse streams of data. It underlines challenges related to low latency, high throughput, and fault tolerance in distributed systems. It proposes a framework that combines automation, AI-driven decision-making and adaptive res

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Bychkov, Vadym. "USING CONTAINERIZATION IN THE DEVELOPMENT AND DEPLOYMENT OF CYBERSPORTS PLATFORMS." American Journal of Engineering and Technology 6, no. 7 (2024): 66–80. http://dx.doi.org/10.37547/tajet/volume06issue07-08.

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This study examines the application of containerization in the development and deployment of esports platforms. Utilizing a comprehensive methodology including literature review, expert evaluations, and experimental modeling, the research investigates architectural solutions, scalability, fault tolerance, and security aspects of containerized esports systems. The findings demonstrate that containerization, coupled with microservices architecture and orchestration tools like Kubernetes, provides significant advantages in terms of flexibility, scalability, and resilience. Results indicate that w

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Tulashvili, Yurii, and Viktor Kosheliuk. "Orchestrating honeypot deployment in lightweight container platforms to improve security." International Science Journal of Engineering & Agriculture 4, no. 1 (2025): 1–13. https://doi.org/10.46299/j.isjea.20250401.01.

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A significant evolution has occurred in the architectural and infrastructural domains of web applications over the past several years. Monolithic systems are gradually being superseded by microservices-based architectures, which are now considered the de facto standard for web application development owing to their inherent portability, scalability, and ease of deployment. Concurrently, the prevalence of this architecture has rendered it susceptible to specialized cyberattacks. While honeypots have proven effective in the past for gathering real-world attack data and uncovering attacker method

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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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Alfaras, Miquel, William Primett, Muhammad Umair, et al. "Biosensing and Actuation—Platforms Coupling Body Input-Output Modalities for Affective Technologies." Sensors 20, no. 21 (2020): 5968. http://dx.doi.org/10.3390/s20215968.

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Research in the use of ubiquitous technologies, tracking systems and wearables within mental health domains is on the rise. In recent years, affective technologies have gained traction and garnered the interest of interdisciplinary fields as the research on such technologies matured. However, while the role of movement and bodily experience to affective experience is well-established, how to best address movement and engagement beyond measuring cues and signals in technology-driven interactions has been unclear. In a joint industry-academia effort, we aim to remodel how affective technologies

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Chandrasehar, Amreth. "ML Powered Container Management Platform: Revolutionizing Digital Transformation through Containers and Observability." Journal of Artificial Intelligence & Cloud Computing 1, no. 1 (2022): 1–3. http://dx.doi.org/10.47363/jaicc/2023(1)130.

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As companies adopt digital transformation, cloud-native applications become a critical part of their architecture and roadmap. Enterprise applications and tools are developed using cloud native architecture are containerized and are deployed on container orchestration platforms. Containers have revolutionized application deployments to help management, scaling and operations of workloads deployed on container platforms. But a lot of issues are faced by operators of the platforms such as complexity in managing large scale environments, security, networking, storage, observability and cost. This

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Girish, Ganachari. "Designing Scalable and Cost-Efficient Cloud-Agnostic Big Data Platforms: A Comparative Study." Journal of Scientific and Engineering Research 8, no. 9 (2021): 315–21. https://doi.org/10.5281/zenodo.13758538.

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This paper aims to explore big data architecture and the benefits of implementing cloud-agnostic solutions, especially about scalability, costs, and flexibility. This paper is limited to the advancements of orchestration tools, edge computing, and AI to overcome the challenges in areas such as administration, security, and latency. These advancements will improve abilities related to data assortment and organization in various cloud contexts.

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Adusumilli, Lakshmi Vara Prasad. "Serverless Kubernetes: The Evolution of Container Orchestration." European Journal of Computer Science and Information Technology 13, no. 30 (2025): 20–36. https://doi.org/10.37745/ejcsit.2013/vol13n302036.

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This article examines the convergence of serverless computing and Kubernetes orchestration, representing a significant advancement in cloud-native architecture. Serverless Kubernetes implementations address fundamental operational challenges of traditional container orchestration while preserving its powerful capabilities. It explores the technical foundations enabling this evolution, including Virtual Kubelet for node abstraction, KEDA for event-driven scaling, and Knative for serverless abstractions. It analyzes implementations from major cloud providers—AWS EKS on Fargate, Azure Container I

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Uddesh, Piprewar, More Shubham, Lamsoge Vishal, Puramkar Balwesh, Dandhare Gayatri, and Aditya Turankar Prof. "Cloud Formation (IaC): Deploying a Containerized Application on Cloud." Recent Trends in Cloud Computing and Web Engineering 5, no. 2 (2023): 39–49. https://doi.org/10.5281/zenodo.7936767.

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<em>Infrastructure as Code (IaC) is a practice that automates the deployment and management of infrastructure resources using machine-readable files, which describe the desired state of the desired state of the infrastructure. In this way, the infrastructure is treated as a code and is versioned, tested, and deployed like any other software artifact. Cloud providers offer IaC tools that facilitate the deployment of resources in a scalable and reproducible manner.</em>   <em>Containers have become the preferred way to package and deploy applications due to their portability, isolation, and

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Abhyudaya Gurram. "Modernizing legacy enterprise platforms: A cloud-native migration case study." Global Journal of Engineering and Technology Advances 23, no. 1 (2025): 376–89. https://doi.org/10.30574/gjeta.2025.23.1.0125.

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A large financial services enterprise undertook a transformative cloud-native migration journey to modernize its legacy platform. The initiative encompassed comprehensive assessment phases, strategic planning, and systematic implementation across infrastructure, applications, and security domains. The migration successfully addressed critical challenges including scalability limitations, technical debt, and operational inefficiencies. Through careful orchestration of cloud technologies, microservices architecture, and DevOps practices, the organization achieved substantial improvements in depl

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