Power-Aware Query Costing for Privacy-Compliant Data Access
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Solution Overview
Problem
Existing database systems lack efficient mechanisms to manage and enforce query cost thresholds, leading to potential misuse and unauthorized access to data, which can violate data privacy and licensing agreements.
Innovation Solution
Implementing a query cost compliance module that enforces minimum and maximum query cost rules, utilizing a query processing system to generate and enforce query pricing schemes based on predefined functions, ensuring compliance with data provider restrictions and billing structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If query cost thresholds are not enforced, then data access is unrestricted and user convenience is improved, but data privacy and licensing agreements are violated
Solution Approach 1:
The system performs preliminary evaluation of query cost data before executing queries. The query cost compliance module calculates estimated query costs based on query functions and compares them against predefined thresholds, blocking unauthorized queries before they can access data, thus preventing privacy violations while maintaining legitimate access.
Solution Approach 2:
A query cost compliance module is introduced as an intermediary between the query processing system and data access. This module evaluates query costs, determines compliance with licensing agreements, and mediates whether queries should be executed or blocked, resolving the conflict between ease of access and data privacy protection.
2Reliability
If query cost compliance checking is implemented, then data privacy and licensing compliance are improved, but system complexity increases
Solution Approach 1:
The query cost compliance module operates autonomously by automatically evaluating query functions against predefined cost thresholds and licensing rules. The system self-regulates query execution based on cost data without requiring manual intervention, reducing operational complexity while maintaining high compliance reliability.
Solution Approach 2:
The system manages complexity by parameterizing query cost evaluation through predefined thresholds and cost functions. Instead of complex adaptive algorithms, the system uses configurable parameters (cost thresholds, query function classifications) that can be adjusted without changing the fundamental evaluation mechanism, simplifying maintenance and improvement.
3Measurement precision
If query cost limits are enforced, then billing accuracy is improved, but legitimate queries may be blocked
Solution Approach 1:
The system applies partial enforcement by allowing queries that fall within acceptable cost thresholds while blocking only those that exceed predefined limits. The query cost compliance module evaluates each query's estimated cost and selectively enforces restrictions, ensuring billing accuracy for high-cost queries while maintaining smooth operation for legitimate, low-cost queries.
Data Source
AI summary
A database system operates by: determining a query pricing scheme; receiving a query request from a requesting entity that indicates at least one query function for execution against a database system; determining a power consumption value based on the at least one query function; generating query cost data based on the at least one query function by utilizing the query pricing scheme based on the power consumption value; and transmitting the query cost data to the requesting entity.