Cluster Node Status Control via Self-Diagnosis
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Solution Overview
Problem
Existing cluster node management techniques require manual intervention and continuous monitoring by a manager, leading to inefficiencies in reacting to changes in service requests and resource allocation, resulting in wasted resources and suboptimal service quality.
Innovation Solution
An apparatus and method that allow cluster nodes to autonomously determine and change their status from active to standby or vice versa based on self-diagnosis and priority settings, without manager intervention, using units like activation determining and status change determining units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and management by a manager is used to control cluster node statuses, then service quality can be maintained through continuous monitoring, but the system complexity increases and response time to environment changes is delayed
Solution Approach 1:
The patent implements self-service by enabling cluster nodes to autonomously determine their own status changes based on pre-set priorities and environmental conditions. Each node performs self-diagnosis and automatically transitions between active and standby statuses without requiring manual monitoring or intervention from a manager, thereby reducing management complexity while maintaining service quality through automated decision-making
Solution Approach 2:
The patent applies preliminary action by pre-configuring priority levels for each cluster node before runtime. These pre-set priorities enable nodes to make immediate autonomous decisions about status changes when environmental conditions change, eliminating the delay associated with manual monitoring and response while maintaining reliable service quality through predetermined decision criteria
2Ease of operation
If active and standby nodes are designated and operated without association with surrounding environmental elements, then system operation is simplified, but resource waste occurs and reaction to service request changes is delayed
Solution Approach 1:
The patent implements dynamics by making cluster node statuses flexible and adaptable to changing environmental conditions such as service request volumes and resource availability. Nodes can dynamically transition between active and standby statuses based on real-time conditions and pre-set priorities, allowing the system to maintain operational simplicity while avoiding resource waste through condition-based status adjustments
Solution Approach 2:
The patent applies parameter changes by modifying node statuses (active/standby) based on changing environmental parameters such as service request patterns and resource availability. This allows the system to maintain simple operation while responding efficiently to environmental changes, preventing resource waste by activating or deactivating nodes according to actual demand conditions
3Reliability
If a manager continuously monitors cluster node status and resource status to manage the number of active nodes, then service quality can be maintained, but the manager does not easily perform continuous monitoring and immediate reaction is not easy
Solution Approach 1:
The patent eliminates the need for manual monitoring by implementing self-service automation where cluster nodes autonomously monitor their own status and make independent decisions about status changes. This automated self-management maintains service quality through consistent application of priority-based decision rules while eliminating the time loss associated with manual monitoring and response delays
Solution Approach 2:
The patent implements feedback mechanisms where nodes continuously assess their own status and environmental conditions, then automatically adjust their status based on this feedback. This closed-loop automated feedback system maintains service quality by ensuring nodes respond appropriately to condition changes while eliminating the time delay inherent in manual monitoring and decision-making processes
Data Source
AI summary
Provided are an apparatus and a method for changing a status of cluster nodes, which determine whether to change statuses of respective cluster nodes themselves to an active status or a standby status without intervention by a manager through self-diagnosis and change the status of the nodes.