Distributed Content Storage for Low-Latency Pipeline Synchronization

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Solution Overview

Problem

Current media & entertainment production pipeline systems face inefficiencies due to centralized architectures, high data transfer costs, latency, and manual content management, leading to single points of failure and operational friction for globally distributed teams.

Innovation Solution

A decentralized content management system that semantically analyzes production content, replicates metadata shards locally, and transfers only the required data segments based on dependency graphs, using a distributed repository design with a hybrid database/virtual filesystem.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a centralized client/server model is used to manage content metadata, then a single source of truth can be maintained, but the system creates a single point of failure and introduces latency for globally distributed teams

Engineering Contradiction:

Improvesingle point of failureVSAvoidlatency

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent segments the centralized metadata database into distributed shards across multiple participant nodes. Each node maintains local metadata segments, eliminating the single point of failure while reducing latency through local access. The segmentation allows the system to maintain reliability through distribution while improving response time for globally distributed teams.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates copies of metadata segments across multiple nodes in the distributed network. Instead of relying on a single centralized database, metadata is replicated to multiple participant nodes, ensuring that no single point of failure exists and that users experience reduced latency by accessing local copies rather than remote centralized storage.

Inventive Principle:

Principle #26Copying

2Productivity

If general purpose transfer protocols are used to move large datasets between distributed computing systems, then content can be transferred between sites, but the transfer cost is high and speed is limited

Engineering Contradiction:

Improvecontent transfer speedVSAvoidtransfer cost

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The patent extracts only the essential metadata information needed for content identification and tracking, separating it from the actual content data. This extracted metadata is distributed efficiently across the network, while content transfer is optimized by referencing local metadata rather than repeatedly transferring entire datasets, reducing both cost and time.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent performs preliminary metadata synchronization and content identification before actual content transfer. By pre-establishing metadata records and using them to guide subsequent transfers, the system avoids redundant data movement and optimizes bandwidth usage, reducing transfer costs and improving speed.

Inventive Principle:

Principle #10Preliminary action

3Loss of information

If metadata is stored in a remote central information system, then a centralized view of production status can be maintained, but every metadata query requires a remote network call adding latency

Engineering Contradiction:

Improvemetadata accessibilityVSAvoidquery latency

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent implements local quality by storing metadata segments locally at each participant node rather than requiring all queries to access a remote central system. Each node has local access to its metadata segments, eliminating network latency for local queries while maintaining overall system consistency through distributed synchronization protocols.

Inventive Principle:

Principle #3Local quality

4Adaptability or versatility

If client APIs are used to implement production tracking logic, then flexibility in implementing custom workflows is achieved, but the complexity of implementing and maintaining synchronization logic increases

Engineering Contradiction:

Improveworkflow customizationVSAvoidsynchronization logic

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent creates a universal metadata schema and distributed repository structure that serves multiple production workflows and use cases. This universal framework provides adaptability for custom workflows while reducing complexity by offering standardized mechanisms for synchronization and data management that work across different scenarios.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250272309A1Method and apparatus for storing and distributing content in a distributed computing environment

Publication Date: 2025.08.28 VISIONAL LLC

AI summary

A method, apparatus, and data structure for synchronizing data between a plurality of participant nodes in a decentralized content production pipeline network. A first participant node executes a data sharing service. The data includes metadata segments corresponding to data segments in a log-structured manner. A second participant executes a client polling service which identifies data and sends a request for a specific data segment that is stored in the repository of the first participant node. In response to the request for the specific data segment, the first participant node packs the at least one data segment into an archived format segment based on a similarity index computed across a dependency graph, where the dependency graph includes a cross-node dependency for the data segment between the first participant node and the second participant node and transfers the archived format segment from the first participant node to the second participant node.