Virtual Regulator for Dynamic Database Query Routing
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Solution Overview
Problem
Current workload management techniques in database systems fail to effectively manage unforeseen impacts such as request volume surges, shared resource exhaustion, and external conditions like component outages, leading to inconsistent response times and inadequate system regulation.
Innovation Solution
A computer-implemented apparatus and method using a virtual regulator to manage multiple database systems by routing queries based on a cost function, allowing for parallel processing and dynamic adjustment of resources to meet workload-specific goals, incorporating a closed-loop architecture for self-adjustment and proactive management of system conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single database system is tuned for a specific workload type, then performance for that workload type is improved, but performance for other workload types deteriorates
Solution Approach 1:
The system segments the database workload management into multiple specialized database systems, each tuned for a specific workload type (OLTP, OLAP, data warehousing). The virtual regulator divides incoming queries and routes them to the appropriate specialized system, allowing each system to excel at its specific function while the overall system handles diverse workload types effectively.
2Ease of operation
If workload management rules are fixed in advance, then system control is simplified, but ability to respond to unforeseen conditions deteriorates
Solution Approach 1:
The virtual regulator implements dynamic workload management by continuously monitoring system conditions, query characteristics, and performance metrics in real-time. It adapts routing decisions based on current system state rather than following fixed pre-defined rules, enabling the system to respond effectively to unforeseen conditions while maintaining operational simplicity through automated dynamic adjustment.
3Stability of the object's composition
If resources are allocated statically to database systems, then system stability is improved, but ability to handle request volume surges deteriorates
Solution Approach 1:
The virtual regulator implements feedback mechanisms by continuously monitoring system performance, resource utilization, and query response times. Based on this feedback, it dynamically adjusts resource allocation and routing decisions to handle request volume surges effectively while maintaining system stability during normal operation conditions.
4Productivity
If multiple virtual regulators are run in parallel, then workload distribution is improved, but system complexity increases
Solution Approach 1:
The system segments the regulatory function into multiple virtual regulators that operate in parallel, each responsible for specific aspects of workload management. This segmentation improves workload distribution efficiency by allowing specialized regulators to handle different query types or system aspects, while the overall complexity is managed through modular architecture and coordinated operation.
Data Source
AI summary
A virtual regulator monitors and manages a plurality of database systems in a domain. Each of the database systems is tuned for a particular type of workload, and the virtual regulator or multiple virtual regulators running in parallel routes a set of one or more queries to a particular database system within the domain based on a cost function for each database system.