Multi-tenant Database Resource Governance via Threshold Monitoring
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Solution Overview
Problem
Conventional database systems face performance issues due to high query volumes and concurrent access from multiple users, leading to slow processing and inefficient resource utilization.
Innovation Solution
A multi-tenant database system that tracks and manages access by receiving programming language instructions to apply resource limits, using a network of application servers with local and global stores to compare request volumes with thresholds, and applies filters to optimize database access efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the database system processes a high number of queries concurrently, then the system utilization is improved, but the query processing speed deteriorates
Solution Approach 1:
The patent segments the database system into multiple independent database instances, each capable of processing queries independently. This segmentation allows the system to handle high query volumes by distributing load across instances while maintaining acceptable processing speeds within each instance, thus resolving the contradiction between system utilization and query processing speed.
2Adaptability or versatility
If the database system allows concurrent access from multiple users, then the accessibility is improved, but the resource consumption increases
Solution Approach 1:
The patent implements dynamic resource allocation where database instances can be activated or deactivated based on current workload demands. When concurrent access requirements are high, more instances are activated to handle the load; when demands are low, instances are deactivated to conserve resources. This dynamic approach allows the system to adapt to varying concurrent access needs while optimizing resource consumption.
3Use of energy by moving object
If resource limits are applied to govern access, then the resource consumption is controlled, but the system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where database instances automatically monitor their own resource consumption and enforce their own access limits based on predefined policies. Each instance can independently determine whether to process incoming queries based on its current resource state, eliminating the need for complex centralized control mechanisms. This self-service approach controls resource consumption while keeping system complexity manageable.
Data Source
AI summary
A database system includes servers configured to receive requests from user systems. Each server includes a local and a global store. Each local store stores the number of requests received by its server. The system includes a processor configured to receive the number of requests from servers. The processor is configured to determine the number of requests received by all of the servers, and send this number of requests to each server. The global store stores the number of requests received from the processor. A given server is configured to compare the number of requests received by the servers with a threshold number. If this number is greater than the threshold number, then the given server is configured to send a message to the user systems that the number of threshold requests has been exceeded and/or the given server will discontinue accepting requests.


