Journal of Advances in Developmental Research

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Container-based Orchestration Frameworks for Efficient Resource Management

Author(s) Kalesha Khan Pattan
Country United States
Abstract Container-based orchestration frameworks have become a cornerstone of modern cloud computing, enabling efficient deployment, scaling, and management of containerized applications across distributed environments. However, traditional static orchestration mechanisms often result in suboptimal resource utilization, uneven network load distribution, and increased operational latency under dynamic workloads. This research proposes a dynamic orchestration framework designed to achieve efficient resource management through adaptive scheduling, intelligent load balancing, and predictive network optimization. The study evaluates the performance difference between static orchestration and dynamic orchestration models by focusing on key parameters such as CPU utilization, memory efficiency, network utilization, and overall system throughput. This ensures balanced resource consumption and minimizes idle capacity across all nodes in the cluster. Network utilization is a key focus of this study, as it directly affects inter-container communication, data transfer efficiency, and overall system responsiveness. In the static orchestration model, network usage patterns revealed uneven distribution and bandwidth underutilization, particularly at higher node scales. After implementing dynamic orchestration, the system achieved a consistent increase in utilization efficiency—averaging 20–25% improvement across all test scenarios. Furthermore, the adaptive framework reduced network latency and improved container scheduling response times without compromising reliability or scalability. These findings confirm that dynamic orchestration effectively enhances communication performance and operational balance across distributed container clusters. Overall, the study establishes that container-based dynamic orchestration frameworks substantially improve resource management, providing a self-optimizing and scalable infrastructure for modern cloud-native systems. The proposed model ensures that computational and networking resources are allocated efficiently, thereby enhancing throughput, minimizing overhead, and maintaining consistent service quality. Future work may focus on incorporating machine learning-driven orchestration policies and energy-efficient scheduling algorithms to further optimize large-scale, heterogeneous container environments.
Field Engineering
Published In Volume 15, Issue 1, January-June 2024
Published On 2024-06-08
Cite This Container-based Orchestration Frameworks for Efficient Resource Management - Kalesha Khan Pattan - IJAIDR Volume 15, Issue 1, January-June 2024. DOI 10.71097/IJAIDR.v15.i1.1591
DOI https://doi.org/10.71097/IJAIDR.v15.i1.1591
Short DOI https://doi.org/g98f4z
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