Content-Modification System Dynamic Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing content-modification systems face challenges in efficiently requesting and allocating system resources to facilitate content-modification operations across a large group of content-presentation devices, leading to potential delays or failures in providing targeted content to end-users.
Innovation Solution
The system identifies the number of content-presentation devices tuned to a channel and uses this information to determine the necessary system resources, such as server instances and processing cycles, to ensure timely and successful content-modification operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system requests a large amount of system resources to facilitate content-modification operations across many content-presentation devices, then the reliability and success rate of content-modification operations improve, but the cost and complexity of resource allocation increase
Solution Approach 1:
The system changes the parameter of resource request amount based on the identified number of content-presentation devices. By dynamically adjusting the resource request parameter according to the actual number of devices needing content modification, the system achieves reliable operation while avoiding excessive resource allocation and associated complexity.
2Productivity
If the system identifies and requests system resources based on the number of content-presentation devices, then the productivity and efficiency of content-modification operations improve, but the measurement and detection of device numbers becomes more complex
Solution Approach 1:
The system uses feedback information about the number of content-presentation devices tuned to the channel to determine resource requests. This feedback mechanism allows the system to efficiently allocate resources based on actual demand without requiring complex measurement processes, as the device count information is already available from the content distribution system's tuning data.
3Reliability
If the system uses historical data and actual device usage to optimize resource allocation, then the reliability of content-modification operations improves, but the loss of time for data processing and analysis increases
Solution Approach 1:
The system performs preliminary actions by using historical data to pre-determine optimal resource allocation patterns. This allows the system to make informed resource requests without performing time-consuming real-time analysis, as the historical data has already been processed to establish reliable allocation guidelines that can be quickly applied to current situations.
Data Source
AI summary
In one aspect, a method includes identifying an upcoming content modification opportunity on a channel. The method also includes responsive to identifying the upcoming content modification opportunity on the channel, identifying a group of multiple content-presentation devices tuned to the channel. The method also includes using, at least in part, an amount of content-presentation devices in the identified group as a basis to determine an amount of system resources to request. The method also includes requesting the determined amount of system resources for use in performing actions that facilitate at least a portion of the content-presentation devices in the identified group performing respective content-modification operations.