Adaptive Request Rate Limiting for Workload Resource Control

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Solution Overview

Problem

Workload-based computing environments face inefficiencies due to dynamic demand fluctuations, leading to resource over-utilization and performance degradation, with existing systems struggling to accurately predict resource needs and prioritize workload requests effectively.

Innovation Solution

A workload management system implements adaptive request rate limiting by dynamically modifying rate limits based on resource utilization and entity types, prioritizing certain workloads and entities through a rate limiting policy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If rate limiting is applied to control workload requests, then resource over-utilization is prevented, but workload processing delay increases

Engineering Contradiction:

Improveresource utilization controlVSAvoidworkload processing delay

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements dynamic rate limiting by continuously monitoring computing resource utilization metrics and adjusting rate limit parameters in real-time. When resource utilization exceeds predefined thresholds, the system automatically modifies rate limits for different workload types or requesting entities, transforming static rate limiting into a dynamic control mechanism that adapts to changing system conditions.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies differentiated rate limiting strategies based on workload type and requesting entity characteristics. Instead of applying uniform rate limits to all workloads, the system assigns different rate limit parameters to different workload types (e.g., interactive vs. batch workloads) and to different requesting entities, allowing critical workloads to maintain higher priority while less critical workloads are more aggressively throttled.

Inventive Principle:

Principle #3Local quality

2Device complexity

If static rate limits are used for all workloads, then system simplicity is maintained, but workload prioritization accuracy decreases

Engineering Contradiction:

Improverate limiting policy complexityVSAvoidworkload prioritization accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the rate limiting policy into multiple distinct rate limit parameters, each associated with different workload types or requesting entities. The system maintains a rate limiting policy structure that includes separate rate limit configurations for different workload categories (e.g., interactive workloads, batch workloads, real-time workloads) and for different requesting entity types, enabling precise differentiation without requiring complete policy redesign.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent modifies rate limit parameters dynamically based on monitored computing resource utilization metrics. The system adjusts parameters such as request frequency limits, resource allocation quotas, and priority levels in response to changing system conditions, allowing the rate limiting policy to adapt to varying workload patterns and resource availability without requiring manual reconfiguration.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If resource utilization threshold is set low, then resource over-utilization is prevented early, but legitimate workload requests are rejected more often

Engineering Contradiction:

Improveresource utilization controlVSAvoidworkload processing throughput

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent establishes different resource utilization thresholds and rate limit parameters for different workload types and requesting entities. Critical workloads with higher priority receive more lenient threshold settings and higher rate limits, while less critical workloads are subject to stricter thresholds and lower rate limits. This differentiated approach prevents resource over-utilization for non-critical workloads while maintaining adequate throughput for critical workloads.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system continuously monitors computing resource utilization metrics and uses this feedback to dynamically adjust rate limiting parameters. When resource utilization approaches thresholds, the system receives feedback about system state and automatically modifies rate limits accordingly. This feedback mechanism allows the system to respond to actual resource consumption patterns rather than relying on static, potentially misconfigured thresholds.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250284549A1Workload management via adaptive request rate limiting

Publication Date: 2025.09.11 RED HAT INC

AI summary

A determination is made that a quantity of computing resources utilized by a set of existing workloads is greater than a threshold quantity of the computing resources. Responsive to the determination, a particular rate limiting target is identified from a plurality of rate limiting targets of a rate limiting policy, wherein the rate limiting policy controls a workload management Application Programming Interface (API) that receives workload requests from requesting entities, and wherein the plurality of rate limiting targets comprises a particular workload type, a particular requesting entity, or a particular requesting entity type. The rate limiting policy is modified, wherein modifying the rate limiting policy comprises replacing an existing rate limit for the rate limiting target with a modified rate limit different than the existing rate limit.