Transport Stream Allocation via Historical Data

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Traditional systems are unable to efficiently allocate user-requested media assets to transport streams, limiting the simultaneous delivery of media assets, especially during peak hours, due to insufficient bandwidth management.

Innovation Solution

Implementing a system that links multiple media assets as a block and allocates them to a transport stream with sufficient bandwidth, using control circuitry to maximize bandwidth utilization by reallocating existing media assets if needed, and utilizing historical data and machine learning algorithms to predict and initialize allocations for efficient bandwidth management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional allocation methods are used, then system simplicity is maintained, but the number of media assets that can be simultaneously delivered is limited

Engineering Contradiction:

Improvenumber of media assets simultaneously deliveredVSAvoidbandwidth management complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by monitoring user requests and proactively allocating transport stream bandwidth before peak demand occurs. The control circuitry analyzes historical data and user behavior patterns to pre-configure transport streams, ensuring bandwidth is ready when needed rather than reacting to demand in real-time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The allocation system is made dynamic through continuous monitoring of user requests and real-time reconfiguration of transport stream bandwidth. The control circuitry can adjust allocations on-the-fly based on current demand patterns, allowing the system to adapt to changing conditions rather than using static allocation tables.

Inventive Principle:

Principle #15Dynamics

2Productivity

If more bandwidth is allocated to accommodate simultaneous requests, then user demand during peak hours is met, but system bandwidth utilization efficiency decreases

Engineering Contradiction:

Improveaccommodation of user requests during peak hoursVSAvoidbandwidth utilization efficiency

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system implements feedback mechanisms by continuously monitoring user requests, viewing history, and allocation effectiveness. This feedback loop allows the control circuitry to learn from past allocations and optimize future bandwidth distribution, ensuring that bandwidth is allocated efficiently based on actual demand patterns rather than over-provisioning.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes allocation parameters dynamically based on monitored user behavior and historical data. Rather than maintaining fixed bandwidth allocations, the control circuitry adjusts transport stream parameters in response to changing demand conditions, optimizing the balance between accommodating users and efficient resource utilization.

Inventive Principle:

Principle #35Parameter changes

3Speed

If real-time allocation is performed without historical data, then system complexity is reduced, but allocation speed and accuracy during peak demand decrease

Engineering Contradiction:

Improveallocation speedVSAvoiddata processing complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The system performs preliminary data collection and analysis by monitoring user requests and building historical profiles in advance. This preliminary work enables faster real-time decision-making during peak demand, as the control circuitry can query pre-processed data rather than analyzing raw request patterns from scratch.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The allocation system serves itself by using historical data to automatically optimize future allocations without requiring manual intervention. The control circuitry learns from past patterns and makes autonomous allocation decisions, reducing the need for complex real-time human oversight while improving allocation speed and accuracy.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS10051297B2Systems and methods for initializing allocations of transport streams based on historical data

Publication Date: 2018.08.14 ROVI PRODUCT CORP

AI summary

Systems and methods for allocating media assets to a plurality of transport streams in a mixed service system to allow simultaneous receipt of at least two media assets using a single stream selector are provided. The mix-service content delivery system comprises a content delivery server comprising control circuitry. At a first time, the first instance of the at least two media assets may be allocated to different transport streams. A user request to simultaneously receive the at least two media assets may be received. A viewing history based on the user request may be generated during a predetermined time period. At a second time after the first time, the control circuitry may allocate a second instance of the at least two media assets to a same transport stream of the plurality of transport streams. The allocations may be determined based on the generated viewing history.