Balancing Fixed Number of Nodes Among Multiple Fixed Clusters
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866913887973015552 |
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| author | Ranjan, Paritosh Majumder, Surajit Roy, Prodip Padhan, Bhuban |
| author_facet | Ranjan, Paritosh Majumder, Surajit Roy, Prodip Padhan, Bhuban |
| contents | Cloud infrastructure users often allocate a fixed number of nodes to individual container clusters (e.g., Kubernetes, OpenShift), resulting in underutilization of computing resources due to asynchronous and variable workload peaks across clusters. This research proposes a novel system and method for dynamic rebalancing of a fixed total number of nodes among multiple fixed clusters based on real-time resource utilization thresholds. By introducing a Node Balancing Cluster Group (NBCG), clusters are grouped and allowed to dynamically share nodes through a controlled reallocation mechanism, managed by a Node Balancing Cluster Balancer and a Resizing Rule Engine. The system identifies overutilized and underutilized clusters using threshold parameters, and reassigns nodes without incurring additional provisioning costs. If reallocation causes a violation of utilization thresholds, the system reverses the operation to maintain cluster stability. The proposed architecture not only optimizes resource utilization and operational cost but also introduces a strategic advantage for cloud service providers like IBM Cloud. Unlike existing solutions, this approach enables intra-account node sharing across clusters with strict adherence to user-defined constraints and ensures consistent cluster state management. This invention has the potential to significantly reduce computing resource waste and position IBM Cloud services as more efficient and competitive. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_08715 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Balancing Fixed Number of Nodes Among Multiple Fixed Clusters Ranjan, Paritosh Majumder, Surajit Roy, Prodip Padhan, Bhuban Distributed, Parallel, and Cluster Computing Cloud infrastructure users often allocate a fixed number of nodes to individual container clusters (e.g., Kubernetes, OpenShift), resulting in underutilization of computing resources due to asynchronous and variable workload peaks across clusters. This research proposes a novel system and method for dynamic rebalancing of a fixed total number of nodes among multiple fixed clusters based on real-time resource utilization thresholds. By introducing a Node Balancing Cluster Group (NBCG), clusters are grouped and allowed to dynamically share nodes through a controlled reallocation mechanism, managed by a Node Balancing Cluster Balancer and a Resizing Rule Engine. The system identifies overutilized and underutilized clusters using threshold parameters, and reassigns nodes without incurring additional provisioning costs. If reallocation causes a violation of utilization thresholds, the system reverses the operation to maintain cluster stability. The proposed architecture not only optimizes resource utilization and operational cost but also introduces a strategic advantage for cloud service providers like IBM Cloud. Unlike existing solutions, this approach enables intra-account node sharing across clusters with strict adherence to user-defined constraints and ensures consistent cluster state management. This invention has the potential to significantly reduce computing resource waste and position IBM Cloud services as more efficient and competitive. |
| title | Balancing Fixed Number of Nodes Among Multiple Fixed Clusters |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2506.08715 |