Clustered Database Backup Distribution via Load Balancing
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Solution Overview
Problem
In clustered databases, simultaneous backup jobs on the same node consume increased memory and processing resources, leading to inefficient resource usage and potential impact on production applications.
Innovation Solution
Implementing an automatic backup distribution system that schedules backup jobs across multiple nodes based on current load indications and load balancing metrics, ensuring that backup jobs are routed to available nodes and resources are utilized efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple backup jobs are scheduled to run on the same node simultaneously, then backup operations can be completed quickly, but memory and processing resources are consumed excessively leading to inefficient resource usage
Solution Approach 1:
The patent segments backup jobs and distributes them across multiple nodes in the cluster. Instead of consolidating all backup operations on a single node, the system divides the backup workload into separate tasks that can be executed concurrently on different nodes, thereby reducing resource consumption on any single node while maintaining overall backup productivity
2Loss of time
If multiple backup jobs run simultaneously on the same node, then backup completion time is reduced, but production application performance may be impacted due to resource competition
Solution Approach 1:
The system segments backup operations across multiple nodes, isolating the resource-intensive backup processes from production applications running on individual nodes. This segmentation allows backup jobs to execute concurrently without interfering with production workloads, as each node handles only its assigned backup tasks rather than competing for shared resources
Solution Approach 2:
The patent introduces a scheduler as an intermediary component that manages backup job distribution. The scheduler acts as a mediator between backup operations and node resources, intelligently assigning backup jobs to appropriate nodes based on current load conditions to ensure production applications maintain optimal performance while backups complete efficiently
3Quantity of substance
If backup jobs are distributed across multiple nodes based on load indications, then resource usage efficiency is improved, but system complexity increases due to load monitoring and scheduling mechanisms
Solution Approach 1:
The patent implements self-service mechanisms where nodes automatically report their own load conditions to the scheduler, and the scheduler autonomously makes distribution decisions based on this information. This self-service approach reduces the need for complex centralized control systems, as nodes manage their own resource states and the scheduler handles distribution logic automatically
Solution Approach 2:
The system incorporates feedback loops where nodes continuously report their load status to the scheduler, which then adjusts backup job assignments based on this feedback. This feedback mechanism enables dynamic load balancing and efficient resource utilization while keeping the control logic manageable through automated responses to real-time conditions
Data Source
AI summary
A data management platform may receive, from a user of a data management platform, a first job request to perform a backup of data from a data source to a database managed by the user. In some examples, the database may be configured as a set of database instances running on a set of computing nodes of a computing cluster. The data management platform may store a backup load indication that indicates which computing node is assigned to perform the backup of the data based on receiving the first job request. The data management platform may receive one or more second job requests subsequent to receiving the first job request and may determine a backup load for one or more computing nodes of the set of computing nodes. The data management platform may then assign one or more target computing nodes for performing the one or more second job requests.