Local Randomization for Test Dataset Distribution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional data testing systems face inefficiencies such as high server resource strain, delayed dataset transmission, wastage of network resources due to irrelevant data transmission, and software crashes, primarily due to inefficient distribution methods and excessive API calls.
Innovation Solution
A system and method for distributing user requests using a local randomization scheme, where a data randomization scheme is received and used to determine test datasets for client devices, with test participation data transmitted based on interaction data, and interaction data is collected and aggregated, reducing unnecessary data transmission and optimizing network usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems use server-based dataset distribution with REST API calls, then test datasets can be assigned to user devices, but server computing resources are strained and transmission is delayed
Solution Approach 1:
The system enables client devices to autonomously determine their test group assignment by executing the randomization scheme locally without requiring server-based API calls. Each client device independently generates its own test dataset assignment based on the randomization scheme received from the server, eliminating the need for continuous server-side processing and API interactions.
Solution Approach 2:
The server transmits the randomization scheme to client devices in advance, allowing clients to pre-determine their test group assignments before actual testing begins. This preliminary distribution of the randomization logic enables clients to autonomously select appropriate test datasets without real-time server intervention during testing operations.
2Quantity of substance
If conventional systems send test datasets to all available devices, then maximum device coverage is achieved, but network bandwidth is consumed and obsolete data is transmitted
Solution Approach 1:
The system assigns different test datasets to different client devices based on local characteristics such as device identifiers, user profiles, or environmental conditions. Each device receives a customized test dataset determined by executing the randomization scheme locally, ensuring that each device gets relevant test data tailored to its specific context rather than receiving generic or obsolete datasets.
Solution Approach 2:
The system incorporates feedback mechanisms where client devices report their current state, previously received test datasets, or interaction results to the server. The server uses this feedback information to adjust the randomization scheme or prevent retransmission of obsolete test datasets to devices that have already received or completed testing with specific datasets.
3Measurement precision
If conventional systems use constant API calls for test group assignment, then accurate tracking is achieved, but considerable bandwidth is required and throughput is delayed
Solution Approach 1:
Client devices independently execute the randomization scheme to determine their own test group assignments without requiring continuous server-side processing or API calls. This self-service approach maintains accurate tracking of test group assignments while eliminating the time delays and bandwidth consumption associated with constant server-client API interactions.
Solution Approach 2:
The randomization scheme is transmitted to client devices in advance, allowing them to pre-determine their test group assignments before actual testing begins. This preliminary action eliminates the need for real-time API calls during testing operations, significantly reducing feedback throughput time while maintaining assignment accuracy.
Data Source
AI summary
Disclosed herein are systems and methods for a system for distributing user requests. The system may comprise a memory storing instructions and at least one processor configured to execute instructions to perform operations. These operations may comprise receiving from a local network device, without requesting, a data randomization scheme determining a test dataset from among a plurality of test datasets for deployment at a client device; based on the received data randomization scheme, determining test participation data for transmitting to a plurality of client devices; transmitting the test participation data to the plurality of client devices; transmitting, to the plurality of client devices, datasets configured for deployment by the plurality of client devices according to the test participation data; and receiving, from at least one of the plurality of client devices, interaction data associated with one of the datasets deployed by the at least one client device according to the test participation data.