Deferred Content Transfer System for Network Congestion
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Solution Overview
Problem
Network congestion occurs during peak times due to increased content transfer, and existing download managers do not account for current network conditions, while fixed download plans incentivize users to defer downloads but still result in revenue for ISPs and congestion issues.
Innovation Solution
A deferred content transfer system that determines if a transfer should be deferred based on network conditions, offering users options for completion times and adjusting charging parameters, ensuring content is transferred by the selected completion time and optimizing network usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users download content during peak times, then user satisfaction is improved, but network congestion worsens
Solution Approach 1:
The system performs preliminary scheduling of downloads by analyzing user preferences, application requirements, and network conditions in advance. Downloads are scheduled during off-peak hours before the actual transfer begins, preventing network congestion while ensuring content is ready when needed.
Solution Approach 2:
The download scheduling system dynamically adjusts transfer times based on real-time network conditions, user activity patterns, and application requirements. The system can shift downloads from peak to off-peak periods while maintaining flexibility to meet user needs and application deadlines.
2Loss of energy
If ISPs implement fixed download plans, then revenue is improved, but network congestion worsens
Solution Approach 1:
The system changes the temporal parameter of downloads by scheduling them during off-peak hours instead of allowing immediate downloads. This shifts bandwidth consumption from congested peak periods to underutilized off-peak periods, reducing overall network congestion while maintaining fixed pricing structures.
Solution Approach 2:
An intermediary scheduling system is introduced between the user and the network infrastructure. This intermediary analyzes network conditions and user needs, then schedules downloads at optimal times that balance revenue goals with congestion reduction, preventing direct conflict between fixed pricing and network capacity.
3Ease of operation
If download managers provide user control, then ease of operation is improved, but network congestion worsens
Solution Approach 1:
The download manager incorporates feedback mechanisms that monitor network conditions, user behavior patterns, and application requirements. This feedback informs intelligent scheduling decisions that automatically optimize download timing to avoid peak congestion periods while respecting user preferences and application deadlines.
Solution Approach 2:
The system provides self-service scheduling capabilities where the download manager autonomously analyzes conditions and schedules transfers without requiring active user intervention. Users can set preferences and deadlines, but the system automatically makes scheduling decisions that balance user control with network optimization.
Data Source
AI summary
In one embodiment, a method includes determining a request for a transfer of content where the request is associated with a user device. It is determined if a deferred transfer should be performed. The deferred transfer defers the transfer of the content with a completion by a completion time. The request is stored in a queue where the request is associated with the completion time. The method processes the request from the queue to transfer the content at a start time. The content is transferred by the completion time. The method then adjusts, for a user associated with the user device, a charging parameter for the transfer due to the transfer being deferred.