Subscription Server DHT Content Traceability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multimedia content distribution systems lack the ability to trace content back to its subscription source, making it difficult for users to discover related content and subscribe to feeds without manually crafting filters.
Innovation Solution
A method and system that utilize a subscription server and distributed hash table (DHT) to link multimedia content files with their corresponding subscriptions, allowing users to retrieve subscription information and download associated content using hashes as keys in the DHT network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distributed hash table is used to store subscription information, then the system achieves decentralized storage and fault tolerance, but the complexity of the system increases
Solution Approach 1:
The patent introduces a subscription server as an intermediary component that manages the distributed hash table and handles subscription operations. This mediator simplifies the system by centralizing the complexity of DHT management while maintaining decentralized storage benefits, allowing clients to interact with subscriptions through the server without directly managing the distributed table structure.
Solution Approach 2:
The system segments functionality between the subscription server and peer clients. The server handles subscription creation, storage, and DHT coordination, while clients handle content retrieval and distribution. This segmentation allows each component to be simpler and more focused, reducing overall system complexity while maintaining fault tolerance through the distributed architecture.
2Ease of operation
If manual filter crafting is required for subscriptions, then users have precise control over content selection, but the ease of operation decreases
Solution Approach 1:
The system enables self-service subscriptions by automatically generating subscriptions based on content metadata and user preferences without requiring manual filter crafting. The subscription server automatically creates subscription descriptors and manages content selection, allowing users to subscribe simply by specifying interests rather than configuring complex filters.
Solution Approach 2:
The system performs preliminary actions by pre-configuring subscription templates and automatically generating subscription descriptors before users need to access content. The subscription server pre-processes content metadata and creates ready-to-use subscriptions, eliminating the need for users to manually craft filters and reducing the operational complexity of subscription creation.
3Adaptability or versatility
If content is distributed without tracker, then the system achieves greater decentralization, but the difficulty of detecting and measuring content increases
Solution Approach 1:
The subscription server acts as an intermediary that maintains the connection between decentralized content distribution and centralized coordination. It tracks subscription information and content relationships without requiring a traditional tracker, enabling content traceability back to subscriptions while maintaining the decentralized P2P distribution architecture.
Solution Approach 2:
The system implements feedback mechanisms where the subscription server receives and records content distribution information from peers, then uses this feedback to maintain traceability between content and subscriptions. This feedback loop enables the system to track content origins and relationships while preserving the decentralized distribution model.
Data Source
AI summary
A method and system for retrieving subscription information associated with a content file are provided. The method, according to an example embodiment, includes automatically generating a hash of the content file and retrieving an identifier for the subscription from a peer machine participating in a distributed hash table network. Subscription information is then retrieved using the subscription identifier, either from a specially configured subscription server or from a subscriber machine in the distributed hash table network.


