Native App Load Signal for Crawling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing search systems face challenges in determining when native applications are sufficiently instantiated for crawling and indexing operations, leading to potential omission of content, especially for high-latency requests, and require application-specific tuning.
Innovation Solution
Monitoring both request and thread status within native applications to generate a load signal when all threads are idle, indicating the application is ready for crawling and indexing, eliminating the need for fixed timeouts and allowing for application-independent operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed timeout is used to determine when an application is ready for crawling, then the system is simple to implement, but content from high-latency requests may be omitted from indexing
Solution Approach 1:
The system implements feedback mechanisms by monitoring request fulfillment status and thread idle status, using this information to dynamically determine when an application is ready for crawling. This feedback loop ensures content is not omitted while avoiding premature crawling, resolving the contradiction between reliability and complexity.
Solution Approach 2:
The application itself provides signals about its readiness state through its thread execution status and request fulfillment patterns. The monitoring system leverages these self-generated signals rather than imposing external fixed timeouts, improving reliability without excessive complexity.
2Productivity
If fixed timeout based requests are used, then resource usage is simpler to manage, but the system does not make optimal use of resources and may miss content
Solution Approach 1:
The system transitions from static fixed timeout values to dynamic monitoring that adapts to each application's actual loading behavior. By observing request fulfillment and thread status in real-time, the system optimizes the timing of crawling operations for each application individually, improving productivity while reducing unnecessary waiting time.
3Adaptability or versatility
If application-specific parameters are required for tuning, then the system can be optimized for each application, but the system becomes more complex and requires manual configuration
Solution Approach 1:
Each application effectively configures its own monitoring parameters through its natural request patterns and thread execution behavior. The monitoring system observes these inherent characteristics without requiring manual tuning or application-specific configuration files, maintaining ease of operation while achieving application-specific optimization.
Solution Approach 2:
The monitoring system implements a universal approach that works across different applications by observing common patterns (request fulfillment, thread idle status) rather than requiring application-specific configurations. This universal mechanism adapts to each application's unique behavior automatically, preserving both versatility and ease of operation.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining when an application is sufficiently instantiated to be subject to a crawling operation. In one aspect, a method includes instantiating an instance of a native application that generates environment instances for display on a user device within the native application instance; monitoring requests for content sent from the native application instance to serving entities that are external to the native application instance; determining whether each monitored request has been fulfilled; in response to determining that the requests are fulfilled: determining whether each thread in a set of threads of the native application instance is idle, generating a load signal in response to determining each thread in the set of thread of the native application instance is idle, the load signal indicating the native application instance is sufficiently instantiated to be subject to a crawling operation.