D-K8S: Container Orchestration Through Nodes Empowerment and Participation |
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| © 2025 by IJCTT Journal | ||
| Volume-73 Issue-2 |
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| Year of Publication : 2025 | ||
| Authors : Indravadan Patel | ||
| DOI : 10.14445/22312803/IJCTT-V73I2P104 | ||
How to Cite?
Indravadan Patel, "D-K8S: Container Orchestration Through Nodes Empowerment and Participation ," International Journal of Computer Trends and Technology, vol. 73, no. 2, pp. 23-30, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I2P104
Abstract
With the tremendous rise in virtualization and containerization over the past few decades and in the software sector, the paradigm has shifted to reevaluate the deployment architecture and orchestration management of containers by taking decentralization into account [22]. Given the growing acceptance and use of container orchestration over the past few years and the field's ongoing development [4], this study presents the ideas of "D-K8S" (Decentralized-Kubernetes) and reveals the investigation of various facets of the decentralized system using Kubernetes. Examining the mixing of different elements of the decentralized architecture among nodes and its complexities, such as cooperating for container orchestration, goes beyond the confines of centralized realms that have existed since its invention [14]. Resilient constellations, improved safety, resource efficiency, reinforced security orbits, and performance dynamics are the main topics of the D-K8S architectural study.
Keywords
Containerization, Decentralization, Centralization, Kubernetes, Worker node.
Reference
[1] Sisay Tadesse Arzo et al., “MSN: A Playground Framework for Design and Evaluation of MicroServices-Based SdN Controller,” Journal of Network and Systems Management, vol. 30, pp. 1-31, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Showkat Ahmad Bhat, Ishfaq Bashir Sofi, and Chong- Yung Chi, “Edge Computing and Its Convergence with Blockchain in 5G and Beyond: Security, Challenges, and Opportunities,” IEEE Access, vol. 8, pp. 205340-205373, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Carmen Carrión, “Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges,” ACM Computing Surveys, vol. 55, no. 7, pp. 1 37, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Nathan F. Saraiva de Sousa et al., “Network Service Orchestration: A Survey,” Computer Communications, vol. 142-143, pp. 69-94, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Gerard Finol, and Aitor Arjona, “Study of the Feasibility of Serverless Access Transparency for Python Multiprocessing Applications,” Bachelor Thesis, Rovira i Virgili University (URV) and Open University of Catalonia, pp. 1-89, 2021.
[Google Scholar] [Publisher Link]
[6] Kubernetes, The Linux Foundation, 2023. [Online]. Available: https://kubernetes.io/ Silvery Fu et al., “From Kubernetes to Knactor: A State-Centric Rethink of Service Integration,” arXiv, pp. 1-8, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Sukhpal Singh Gill et al., “Transformative Effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing: Evolution, Vision, Trends and Open Challenges,” Internet of Things, vol. 8, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Gido´falvy Gordon Zsolt, “Automating Deployments of Trusted Execution Environments,” Master Thesis, KTH Royal Institute Of Technology, pp. 1-159, 2023.
[Google Scholar] [Publisher Link]
[10] Kavya Govindarajan, Chander Govindarajan, and Mudit Verma, “Network Aware Container Orchestration for Telco Workloads,” IEEE 15th International Conference on Cloud Computing, Barcelona, Spain, pp. 397-406, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Lara Lorna Jiménez, and Olov Schelén, “Docma: A Decentralized Orchestrator for Containerized Microservice Applications,” IEEE Cloud Summit, Washington, DC, USA, pp. 45-51, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Buket Karakas, “Enhancing Security in Communication Applications Deployed on Kubernetes: Best Practices and Service Mesh Analysis,” Master’s Thesis, Aalto University, pp. 1-61, 2023.
[Google Scholar] [Publisher Link]
[13] Deepak Kataria et al., “Artificial Intelligence and Machine Learning,” IEEE Future Networks World Forum, pp. 1-70, 2022.
[Google Scholar] [Publisher Link]
[14] Anders Köhler, “Evaluation of MLOps Tools for Kubernetes: A Rudimentary Comparison between Open Source Kubeflow, Pachyderm and Polyaxon,” Master Programme in Computational Science, pp. 1-87, 2022.
[Google Scholar] [Publisher Link]
[15] Lars Larsson et al., “Decentralized Kubernetes Federation Control Plane,” IEEE/ACM 13th International Conference on Utility and Cloud Computing, Leicester, UK, pp. 354-359, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Changyuan Lin, and Hamzeh Khazaei, “Modeling and Optimization of Performance and Cost of Serverless Applications,” IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 3, pp. 615-632, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Marko Luksa, Kubernetes in Action, Simon and Schuster, pp. 1-624, 2017.
[Google Scholar] [Publisher Link]
[18] Anshita Malviya, and Rajendra Kumar Dwivedi, “A Comparative Analysis of Container Orchestration Tools in Cloud Computing,” 9th International Conference on Computing for Sustainable Global Development, New Delhi, India, pp. 698-703, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Enrico Martin, “Virtualization and Containerization: A New Concept for Data Center Management to Optimize Resources Distribution,” Final Thesis, Ca' Foscari University of Venice, pp. 1-71, 2022.
[Google Scholar] [Publisher Link]
[20] Gabriele Monaco, Gautam Gala, and Gerhard Fohler, “Shared Resource Orchestration Extensions for Kubernetes to Support Real-Time Cloud Containers,” IEEE 26th International Symposium on Real-Time Distributed Computing, Nashville, TN, USA, pp. 97-106, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Mytilinakis Panagiotis, “Attack Methods and Defenses on Kubernetes,” PhD thesis, University of Piraeus, pp. 1-91, 2020.
[Google Scholar] [Publisher Link]
[22] Petter Njerve Rostrup, “ A Distributed-to-Centralized Architectural Model for Smart City Applications and Services through Container Orchestration,” Master’s Thesis, NTNU, 2019.
[Google Scholar] [Publisher Link]
[23] Mehmet Söylemez, Bedir Tekinerdogan, and Ayça Kolukısa Tarhan, “Challenges and Solution Directions of Microservice Architectures: A Systematic Literature Review,” Applied Sciences, vol. 12, no. 11, pp. 1-40, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Naeem Firdous Syed et al., “Zero Trust Architecture (ZTA): A Comprehensive Survey,” IEEE Access, vol. 10, pp. 57143-57179, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Tarik Taleb et al., “Toward Supporting XR Services: Architecture and Enablers,” IEEE Internet of Things Journal, vol. 10, no. 4, pp. 3567-3586, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Theodoros Theodoropoulos et al., “GreenKube: Towards Greener Container Orchestration using Artificial Intelligence,” IEEE International Conference on Service-Oriented System Engineering, Athens, Greece, pp. 135-139, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Junzo Watada et al., “Emerging Trends, Techniques and Open Issues of Containerization: A Review,” IEEE Access, vol. 7, pp. 152443 152472, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Saqing Yang et al., “KubeHICE: Performance-Aware Container Orchestration on Heterogeneous-ISA Architectures in Cloud- Edge Platforms,” IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking, New York City, NY, USA, pp. 81-91, 2021.
[CrossRef] [Google Scholar] [Publisher Link]