Dynamic Rate Limiting for Autonomous Vehicle Service Requests
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Solution Overview
Problem
Autonomous vehicle systems face challenges in managing and filtering requests to backend services effectively, leading to potential overload and performance degradation due to unchecked requests from vehicle providers and malicious parties.
Innovation Solution
Implementing dynamic bucketized rate limiters that determine and enforce thresholds for requests based on vehicle providers and software services, using attributes like usage history, environmental conditions, and service-specific requirements to filter and prioritize requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicle systems accept all requests from vehicle providers without filtering, then service availability and responsiveness are improved, but system overload and performance degradation occur
Solution Approach 1:
The rate limiting mechanism performs preliminary filtering of requests before they reach the backend services. By evaluating requests against predetermined rate limits and thresholds in advance, the system prevents overload conditions before they occur, maintaining both service availability and system performance
Solution Approach 2:
The rate limiting component acts as an intermediary between vehicle providers and backend services. It mediates request flow by selectively allowing or blocking requests based on rate limits, thus protecting backend services from overload while maintaining legitimate service access
2Reliability
If the system implements strict rate limiting to prevent overload, then system stability and security are improved, but service accessibility and responsiveness deteriorate
Solution Approach 1:
The rate limiting system dynamically adjusts its behavior based on current system conditions, request characteristics, and provider history. Rather than applying fixed strict limits, the system adapts rate limits in real-time to balance stability maintenance with service accessibility, allowing legitimate requests to pass through while blocking abusive patterns
3Reliability
If the system filters requests based on multiple attributes and criteria, then request prioritization and security are improved, but processing complexity and computational overhead increase
Solution Approach 1:
The request filtering system segments the evaluation process into distinct stages: initial rate limit checking, provider history evaluation, request attribute analysis, and prioritization scoring. This segmentation allows complex multi-attribute filtering to be handled through a series of simpler, modular evaluation steps, reducing processing complexity while maintaining comprehensive security checks
Data Source
AI summary
Systems and methods for limiting autonomous vehicle requests are provided. The method includes obtaining data indicative of a request for access to a software service for facilitating one or more transportation services. The method can include granting access to the software service based on a rate limit associated with the request and a request history. The rate limit can be associated with any combination of a vehicle provider determined based on the request, the software service for which access is requested, or current data. The rate limit can define a threshold number of requests over a period of time. The method can include determining the routing action for the request based on the rate limit and a request history associated the vehicle provider, the software service, or current data. The routing action can include granting access if the request history is less than the threshold number of requests.