Network Traffic Scheduling for Bandwidth Optimization
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Solution Overview
Problem
Modern networks often face congestion due to asymmetric bandwidth constraints, limiting upload capacity compared to download capacity, which necessitates improved data transmission scheduling to manage network traffic effectively.
Innovation Solution
A system that monitors network traffic to estimate transmission durations and schedules data transmissions based on historical traffic trends, adding them to a queue or delaying them to times when network traffic is expected to be lower, ensuring efficient bandwidth allocation and utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transmission is scheduled based on monitored network traffic and historical trends, then network congestion is reduced and bandwidth utilization is improved, but transmission delay increases due to queuing and scheduling wait time
Solution Approach 1:
The system performs preliminary actions by monitoring network traffic patterns and calculating estimated transmission durations before scheduling data transmissions. Transmission requests are evaluated in advance against historical traffic trends and current network conditions, allowing the system to proactively select optimal transmission times and queue positions, thereby reducing congestion while managing delays through informed scheduling decisions.
2Productivity
If data transmissions are queued based on estimated duration and monitored traffic, then network congestion is reduced, but transmission completion time increases
Solution Approach 1:
The scheduling system dynamically adjusts queue positions and transmission timing based on continuously monitored network traffic conditions and calculated estimated durations. Rather than using static queuing, the system adapts to changing network states, re-evaluating transmission schedules in real-time to balance congestion reduction with minimizing completion time, allowing flexible optimization as network conditions evolve.
3Productivity
If transmission scheduling optimizes for low traffic periods based on historical trends, then bandwidth efficiency is improved, but response time to user requests increases
Solution Approach 1:
The system changes scheduling parameters by considering both historical traffic trends and current network conditions when determining transmission times. Rather than rigidly scheduling only during historically low-traffic periods, the system adjusts scheduling parameters dynamically based on real-time monitored traffic, allowing it to respond more quickly to user requests while still optimizing for bandwidth efficiency through informed timing decisions.
Data Source
AI summary
A method and system may allow for the scheduling of transmissions. A device may send a transmission request over a network where the request may be an upload request or a download request. Traffic may be monitored on the network and the traffic may determine when the transmission is to be scheduled. Depending on the traffic and the type of transmission, the transmission may be scheduled for a future time or may be added to a queue of pending transmissions. Once commenced, the transmission may be paused and resumed based on continually monitored traffic on the network.