Dynamic Content Delivery Node Switching for Network Adaptation
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Solution Overview
Problem
Current Content Delivery Network (CDN) systems fail to adapt optimally when a device moves within or between networks, leading to suboptimal content delivery due to changes in network conditions, causing degraded user experience and network congestion.
Innovation Solution
A method and apparatus that allow a device to dynamically switch to a more optimal node in the network for content delivery by instructing the device to retrieve content from a second node based on real-time determinations of network conditions and device location changes, using a processor and memory to manage content delivery and redirection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a device is served by a fixed CDN node, then content delivery is simple, but the system cannot adapt to device movement or network changes
Solution Approach 1:
The patent implements dynamic node selection by switching from a fixed CDN node assignment to a dynamic one where the optimal node is determined in real-time based on device location and network conditions. The system continuously monitors device position and network state to dynamically redirect content delivery to the most appropriate node, enabling the system to adapt to device movement without requiring complex manual intervention.
Solution Approach 2:
The system employs feedback mechanisms by monitoring device location changes and network conditions, then using this information to adjust content delivery routing. The CDN system receives feedback about device movement and network state, processes this information to identify optimal nodes, and dynamically redirects content delivery accordingly, creating a closed-loop adaptive system.
2Speed
If content is delivered from a suboptimal node, then delivery simplicity is maintained, but latency increases and user experience degrades
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple CDN nodes with content and pre-establishing routing paths. When a device needs content, the system quickly determines the optimal node based on current conditions and redirects delivery accordingly. This preliminary preparation enables fast dynamic switching without requiring complex real-time computations during content delivery.
Solution Approach 2:
The system changes key parameters such as delivery node selection, routing paths, and content delivery parameters based on real-time conditions. By monitoring network conditions, device location, and node performance metrics, the system dynamically adjusts these parameters to optimize delivery speed while managing the complexity of determination through automated decision-making algorithms.
3Reliability
If the system continuously monitors network conditions, then optimal delivery is achieved, but system resource consumption increases
Solution Approach 1:
The system implements periodic monitoring of network conditions and device location rather than continuous monitoring. Content delivery nodes periodically check network state and device position at appropriate intervals to determine optimal routing, balancing the need for delivery optimization with energy conservation. This periodic action allows the system to adapt to changes without the excessive resource consumption of continuous monitoring.
Data Source
AI summary
Methods and apparatus are provided for processing communications. In one aspect, a method in a first node in a network of delivering content comprises delivering a first portion of the content to a device, receiving a request for a second portion of the content from the device and, responsive to the request and responsive to a determination that the second portion of the content should be delivered to the device from a second node in the network, instructing the device to retrieve the content from the second node.