Cloud DVR Architecture for Bandwidth-Efficient Content Delivery
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Solution Overview
Problem
Current digital content delivery systems face challenges in providing efficient storage and delivery of recorded content to a large number of users, including limitations in device compatibility, mobility, and cost-effectiveness, with existing solutions being burdensome due to storage requirements and bandwidth inefficiencies.
Innovation Solution
A cloud-based digital video recording (cDVR) architecture that allows content to be stored and delivered over a network, utilizing a combination of unique user-specific storage and shared storage repositories, with adaptive bitrate streaming and transcoding to optimize storage and delivery, enabling efficient storage and playback across various devices and locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is stored in cloud-based storage repositories, then storage capacity and device compatibility are improved, but network bandwidth consumption and data delivery complexity increase
Solution Approach 1:
The content is divided into two distinct storage repositories: a first storage repository that stores content in an original encoding format, and a second storage repository that stores compressed versions of the content. This segmentation allows the system to serve different device types from appropriate repositories, reducing unnecessary bandwidth consumption by serving mobile devices from the compressed repository while preserving original quality for fixed devices.
Solution Approach 2:
The system changes the encoding parameters of the content by creating compressed versions in the second storage repository with different compression parameters than the original content in the first repository. This allows optimization of bandwidth efficiency for mobile devices while maintaining quality for fixed devices, resolving the contradiction between adaptability and bandwidth consumption.
2Adaptability or versatility
If content is delivered to multiple devices simultaneously, then service coverage and user accessibility are improved, but network infrastructure costs and delivery complexity increase
Solution Approach 1:
The cloud-based system provides universal access to content across multiple device types (mobile devices, fixed devices, tablets) through a single unified architecture. The dual repository structure enables the same system to serve different device categories with appropriate content versions, simplifying delivery complexity while expanding service coverage.
Solution Approach 2:
The cloud-based storage system acts as an intermediary between content sources and diverse user devices. By pre-storing content in both original and compressed formats in the cloud, the system simplifies delivery to various devices without requiring complex real-time encoding or device-specific content generation, thus reducing delivery complexity while maintaining broad service coverage.
3Quantity of substance
If storage repositories are optimized for compression, then storage costs and bandwidth efficiency are improved, but content quality and rendering fidelity may deteriorate
Solution Approach 1:
The system segments content into two quality levels: original quality content stored in the first storage repository and compressed content stored in the second storage repository. This segmentation allows the system to optimize storage efficiency by using compressed content where appropriate while preserving original quality content for devices that require it, thus resolving the contradiction between storage efficiency and content quality.
Solution Approach 2:
Different content quality levels are provided for different device types: original quality content is made available for fixed devices that can handle higher bitrates, while compressed content is provided for mobile devices. This local quality approach optimizes storage efficiency across the board while maintaining appropriate content quality for each target device category.
Data Source
AI summary
Apparatus and methods for the storage and delivery of content over a network. In one embodiment, the network comprises a managed content distribution network, and the apparatus comprises a “cloud” digital video recorder (cDVR) server which stores, processes and assembles content prior to its delivery in a way that obviates superfluous storage, and gains significant network efficiencies. This approach also facilitates various pre-streaming processing in the video recording (e.g., cDVR) system. One or more content libraries adapted to facilitate cDVR content assembly and access are also disclosed. Secondary content (e.g., promotions, advertisements, etc.) can also be selectively inserted into cDVR content. Various access, business or operational rules and methods implementing the foregoing are also described.