Web Content Transmission Optimization via Dynamic Scheduling
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Solution Overview
Problem
Current web servers lack the ability to optimize web content transmission based on dynamic network conditions, user preferences, and content importance, leading to suboptimal user experiences and business inefficiencies.
Innovation Solution
A method for optimizing web content transmission involves receiving requests, identifying response objects, restructuring responses using configuration parameters, and scheduling transmission based on priority and network conditions to ensure timely and efficient delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a typical webserver provides responses in the sequence of receiving requests with limited static choices, then the server operation is simple and predictable, but the user experience is degraded due to inability to adapt to dynamic network conditions and content importance
Solution Approach 1:
The patent implements dynamic response scheduling by evaluating network conditions and content importance in real-time, replacing static sequential delivery with adaptive prioritization. The system dynamically adjusts response transmission based on current network state and user needs, resolving the contradiction between adaptability and complexity through controlled dynamic behavior.
Solution Approach 2:
The system changes scheduling parameters based on network conditions and content metadata. By modifying transmission parameters such as priority, timing, and sequencing based on detected network state and content importance, the server achieves adaptability without requiring complete redesign of the server architecture.
2Reliability
If the webserver does not have knowledge of user connectivity and network conditions, then the server implementation remains simple, but the response cannot be optimized for user experience
Solution Approach 1:
The system incorporates feedback mechanisms where network condition information is collected and fed back into the scheduling decision process. This feedback loop enables the server to adjust responses based on actual network state, improving reliability while managing complexity through targeted monitoring of key network parameters.
3Speed
If all content is transmitted with equal priority, then the transmission process is simple and fair, but critical content may not be delivered timely enough for user needs
Solution Approach 1:
The patent applies local quality differentiation by assigning different priorities to different content elements based on their importance to the user. Critical content receives higher priority transmission while less important content is scheduled accordingly, achieving timely delivery of essential content without requiring complex global optimization of all transmissions.
Data Source
AI summary
This disclosure relates generally to compensating for the impact of fluctuations in network communications and, more particularly, to systems and methods for optimizing transmission of web content. In one embodiment, a web content transmission optimization method is disclosed that includes receiving a request to transmit web content. The method may also include identifying, based on the request, a response that includes one or more response objects corresponding to the web content. The method may further include restructuring, by one or more processors, the response based on one or more configuration parameters. The method also comprises scheduling the restructured response and transmitting the requested web content according to the scheduled restructured response.