Balanced Consistent Hashing for Cluster Resource Redistribution
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Solution Overview
Problem
Existing cluster resource management systems face inefficiencies in redistributing resource management responsibilities among nodes, leading to increased downtime and resource wastage, especially when nodes join or leave the cluster, as they do not effectively minimize redistribution and account for relative node capabilities.
Innovation Solution
The implementation of a balanced consistent hashing mechanism that divides resource identification space into regions based on node capabilities, minimizing the relocation of resource management responsibilities and efficiently redistributing them among surviving nodes upon changes in the cluster membership.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resource management responsibilities are redistributed among cluster members when a node leaves, then resource management continuity is maintained, but cluster downtime increases and resources are wasted
Solution Approach 1:
The resource identification space is divided into multiple regions, with each region assigned to a specific cluster node. When a node leaves, only the resources in its assigned region need to be redistributed to other nodes, rather than redistributing all resources across the cluster. This segmentation approach minimizes the scope of redistribution and reduces cluster downtime.
Solution Approach 2:
Each cluster node is assigned specific regions of the resource identification space based on its capabilities and the current cluster configuration. This local assignment ensures that when a node departs, only the locally assigned regions are affected, allowing other nodes to maintain their existing responsibilities without interruption.
2Adaptability or versatility
If resource management responsibilities are redistributed when cluster membership changes, then resource allocation adapts to new configuration, but redistribution efficiency decreases without considering node capabilities
Solution Approach 1:
The system assigns regions of the resource identification space to cluster nodes based on their relative capabilities. Nodes with higher capabilities can manage larger or more complex regions, while nodes with limited capabilities are assigned appropriate regions they can handle efficiently. This capability-based assignment optimizes redistribution efficiency while maintaining adaptability to configuration changes.
3Reliability
If all resource management responsibilities are redistributed when a node leaves, then fair distribution is achieved, but the number of relocated masters increases and resources are wasted
Solution Approach 1:
The resource identification space is segmented into distinct regions assigned to specific nodes. When a node leaves, only the resources in its assigned region are redistributed, rather than all resources across the entire cluster. This segmentation significantly reduces the number of relocated masters while maintaining fair distribution among remaining nodes.
Solution Approach 2:
Regions of the resource identification space are pre-assigned to specific cluster nodes based on their capabilities and the current cluster configuration. This preliminary assignment establishes a stable mapping that minimizes disruption when nodes join or leave, reducing the number of masters that need to be relocated.
Data Source
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AI summary
A method, system, computer-readable storage medium and apparatus for balanced and consistent placement of resource management responsibilities within a multi-computer environment, such as a cluster, that are both scalable and make efficient use of cluster resources are provided. Embodiments reduce the time that a cluster is unavailable due to redistribution of resource management responsibilities by reducing the amount of redistribution of those responsibilities among the surviving cluster members. Embodiments further provide redistribution of resource management responsibilities based upon relative capabilities of the remaining cluster nodes.