Dynamic Backup Resource Pool Load Balancing
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Solution Overview
Problem
Existing backup resource pools face inefficiencies due to overloaded and underloaded backup resources, leading to performance bottlenecks and increased operational costs, as they struggle to dynamically adjust to changing client loads.
Innovation Solution
A system that monitors the load state of backup resources and dynamically adds or removes resources from the pool based on load policies, ensuring that backup resources are neither overloaded nor underutilized, thereby maintaining optimal performance and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If backup resources are statically allocated in the backup pool, then device complexity is reduced and ease of operation is improved, but adaptability to changing client loads deteriorates and productivity decreases due to overload or underutilization
Solution Approach 1:
The patent implements dynamic backup resource allocation by continuously monitoring load states of backup resources and automatically adjusting resource allocation based on current demand. The system transitions from static to dynamic management by adding or removing backup resources in response to changing client loads, ensuring optimal performance without manual intervention.
Solution Approach 2:
The system employs feedback mechanisms by monitoring the load state of backup resources and using this information to make automated decisions about resource allocation. The controller receives feedback on resource utilization and adjusts the backup pool composition accordingly, creating a closed-loop control system that adapts to changing conditions.
2Productivity
If backup resources are dynamically added and removed from the pool, then adaptability to changing client loads is improved and productivity is enhanced, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The backup resource management system operates autonomously by automatically monitoring load states and making decisions about adding or removing backup resources without manual intervention. The system serves itself by implementing self-regulating mechanisms that respond to changing conditions, reducing the need for external control while maintaining high productivity.
Solution Approach 2:
The system implements dynamic resource allocation that automatically adjusts the backup pool composition based on real-time load conditions. This dynamic approach enables the system to optimize productivity by ensuring adequate backup capacity during high-demand periods while reducing resources during low-demand periods, without requiring complex manual management.
3Reliability
If more backup resources are allocated to the pool, then reliability is improved and adaptability increases, but loss of substance increases due to higher operational costs
Solution Approach 1:
The system dynamically adjusts the number of backup resources based on actual demand and load conditions, ensuring adequate reliability only when necessary. By transitioning from static to dynamic allocation, the system maintains backup service reliability during high-demand periods while reducing operational expenses during low-demand periods, optimizing the trade-off between reliability and cost.
Solution Approach 2:
The system changes operational parameters by adjusting the number of active backup resources based on load state thresholds. When load conditions indicate high demand, the system increases resource allocation to maintain reliability; when demand decreases, it reduces allocation to lower operational expenses, dynamically optimizing the reliability-cost balance.
Data Source
AI summary
A method for load balancing backup resources of a backup resource pool includes obtaining status information for a plurality of backup resources of the backup resource pool. The method includes, while an aggregate load state of the backup pool is not overloaded, making a first determination that a first backup resource of the plurality of backup resources has a load state that is overloaded based on the status information and a load policy. The method includes, in response to the first determination, adding a new backup resource to the backup pool.