Access Node Anticipated Working Set for IPTV Bandwidth Optimization
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Solution Overview
Problem
Current access nodes in service provider networks face inefficiencies in bandwidth usage and delay in delivering Internet Protocol Television (IPTV) channels due to subscribing to all available channels, which leads to unnecessary bandwidth consumption and increased latency in fulfilling user requests.
Innovation Solution
Implementing a method for access nodes to adaptively determine an anticipated working set of IPTV channels based on historical subscriber subscription patterns, allowing them to subscribe to channels that are likely to be requested before they are explicitly requested, thereby optimizing bandwidth usage and reducing delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the access node subscribes to all available IPTV channels, then the channel availability for subscribers is improved, but the bandwidth consumption increases and delivery delay increases
Solution Approach 1:
The access node proactively subscribes to anticipated IPTV channels based on historical subscription patterns before actual subscriber requests occur. This preliminary action ensures channels are already available when needed, eliminating delivery delay while avoiding subscription to all possible channels, thus reducing bandwidth consumption compared to the conventional approach of subscribing to everything.
2Reliability
If the access node subscribes to all available IPTV channels, then the channel availability for subscribers is improved, but the delivery delay increases
Solution Approach 1:
The system performs preliminary subscription to anticipated channels based on historical data before actual requests arrive. This ensures channels are ready in advance, eliminating delivery delay without requiring subscription to all channels, thus maintaining reliability while improving response time compared to waiting for actual requests.
3Loss of energy
If the access node uses historical heuristics to determine channel subscriptions, then the bandwidth efficiency is improved, but the system complexity increases
Solution Approach 1:
The access node autonomously determines which channels to subscribe to by analyzing its own historical subscription data and identifying patterns. This self-service approach improves bandwidth efficiency through intelligent channel selection without requiring complex external management systems, as the access node itself performs the analytical and decision-making functions.
4Speed
If the access node proactively subscribes to anticipated channels, then the delivery speed is improved, but the bandwidth consumption increases
Solution Approach 1:
The access node subscribes to only the necessary subset of channels that are anticipated to be requested, rather than all available channels. This partial action approach achieves fast delivery speed for requested channels while avoiding unnecessary bandwidth consumption from subscribing to channels that won't be requested, optimizing the balance between speed and resource usage.
Data Source
AI summary
An access node comprises a control unit that determines an anticipated working set of television channels based on a historically delivered working set of television channels to which a subscriber network has previously subscribed. The anticipated working set indicates a time at which the subscriber network is expected to subscribe to a different set of channels. The access node includes at least one interface that couples the access node to the subscriber network, that prior to the time at which the subscriber network is expected to subscribe to the different set of channels, subscribes to the different set of television channels in accordance with the anticipated working set such that media content associated with the different channels of the anticipated working set is available for delivery to the subscriber network at the time during which the access node expects the subscriber network to subscribe to the different set of channels.