Anticipatory Resource Pre-retrieval for Web Browsing Latency
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Solution Overview
Problem
Current web browsing experiences face delays due to the sequential retrieval and processing of embedded resources, especially when a user is likely to activate a link, leading to increased latency and user frustration.
Innovation Solution
Implementing a network computing provider that anticipates user interactions by prioritizing and pre-retrieving embedded resources associated with likely-to-be-activated links, using a virtual machine instance to process requests and transmit results to the client device, thereby reducing latency and improving user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If embedded resources are retrieved sequentially in the traditional web browsing manner, then the system complexity is low and ease of operation is maintained, but retrieval latency increases and productivity decreases
Solution Approach 1:
The system performs preliminary actions by detecting user interactions (such as cursor movement toward links) and pre-retrieving embedded resources before the user actually needs them. This anticipatory approach loads resources in advance, reducing retrieval latency and improving browsing speed when the user activates the link.
Solution Approach 2:
The system implements feedback mechanisms by monitoring user interactions with the web page, such as cursor movement patterns and hover durations, to determine which links are likely to be activated. This feedback information is used to dynamically prioritize and pre-load relevant embedded resources, optimizing the retrieval sequence based on actual user behavior.
2Productivity
If embedded resources are pre-retrieved based on predicted user interactions, then retrieval latency is reduced and productivity improves, but device complexity increases
Solution Approach 1:
The system employs self-service principles by automatically detecting user interactions and autonomously determining which embedded resources to pre-load without requiring explicit user instructions. The browser or web application analyzes user behavior patterns and autonomously manages resource retrieval, reducing the need for complex manual control mechanisms.
Solution Approach 2:
The system replaces traditional mechanical sequential retrieval mechanisms with intelligent prediction-based retrieval. Instead of strictly following a fixed resource loading sequence, the system uses software-based prediction algorithms that analyze user interaction patterns to dynamically determine the optimal retrieval order, substituting rigid mechanical processes with adaptive software intelligence.
3Ease of operation
If traditional sequential resource retrieval is used, then ease of operation is maintained, but user engagement decreases due to delays
Solution Approach 1:
The system performs preliminary actions by detecting user interactions (such as cursor movement toward links) and pre-retrieving embedded resources before the user actually needs them. This anticipatory approach loads resources in advance, reducing retrieval latency and improving browsing speed when the user activates the link.
Solution Approach 2:
The system implements feedback mechanisms by monitoring user interactions with the web page, such as cursor movement patterns and hover durations, to determine which links are likely to be activated. This feedback information is used to dynamically prioritize and pre-load relevant embedded resources, optimizing the retrieval sequence based on actual user behavior.
Data Source
AI summary
Features are described for the retrieval and processing of network resources in anticipation of their request, and to the display of information about linked network resources prior to activation of the link. For example, embedded resources associated with network resources can be prioritized, and a network computing component can retrieve and process the prioritized embedded resources in response to a determination that there is a likelihood exceeding a threshold that the network resource will be requested. A network computing component can also retrieve linked network resources or portions thereof prior to any determination that a linked network resource may be requested, and then in anticipation of a request for a linked network resource the network computing provider can initiate processing of the linked network resource. Additionally, a client device can display visual effects associated with links to network resources in anticipation of user activation of the links.


