Dynamic Network Page Data Density Adaptation
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Solution Overview
Problem
Existing web page loading technologies fail to optimize network page load times effectively across varying client connection and computing speeds, leading to inconsistent user experiences due to inadequate adjustment of data density.
Innovation Solution
An electronic commerce system determines network page load time based on client connection and computing speeds, adjusting data density by manipulating the amount and type of content, using a look-up table or equations to generate network pages with optimized load times through a page generator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data density is increased to provide richer content, then content quality improves, but network page load time increases
Solution Approach 1:
The system dynamically adjusts data density based on real-time measurements of client connection speed and computing speed. The page generator modifies the amount and type of content delivered to each client, creating a dynamic adaptation rather than a static approach. This resolves the contradiction by making data density variable rather than fixed, allowing optimization for each client's specific performance characteristics.
Solution Approach 2:
The system changes key parameters including data density, connection speed measurement, and computing speed measurement to optimize load time. By measuring actual performance metrics and adjusting data density accordingly, the system transforms the fixed parameter approach into a variable parameter system that adapts to client capabilities.
2Loss of time
If data density is decreased to reduce load time, then network page load time improves, but content quality deteriorates
Solution Approach 1:
The system optimizes the data density parameter based on measured client performance characteristics. Rather than universally reducing data density, the system adjusts this parameter dynamically to achieve optimal load times while preserving content quality for clients who can handle higher data densities.
Solution Approach 2:
The system applies different data density levels to different clients based on their specific connection and computing speeds. Each client receives a customized data density that is optimized for their local conditions, rather than applying a uniform reduction that would degrade content quality for all users.
3Ease of operation
If content amount is increased to enhance user experience, then user experience improves, but network bandwidth consumption increases
Solution Approach 1:
The system adjusts the data density parameter based on measured client connection speed, thereby optimizing the balance between content amount and network bandwidth consumption. Clients with higher connection speeds receive more content, while those with lower speeds receive optimized content amounts.
Solution Approach 2:
The system measures actual connection speed and computing speed of clients, then uses this feedback to adjust the data density of delivered content. This closed-loop approach ensures that network bandwidth consumption is optimized while maintaining user experience quality.
Data Source
AI summary
Disclosed are various embodiments for generating a network page having a data density that corresponds to a network page load time for a client in communication with an electronic commerce system. In one embodiment, the electronic commerce system determines a network page load time for a client and draws an association between the client and a data density based at least in part on the network page load time. The electronic commerce system generates a network page having the data density and serves the network page for the client.