Network Video Auto-Archival via Traffic Monitoring

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Solution Overview

Problem

Existing network storage systems do not provide for automatic detection and archival of network video data, particularly in video-on-demand scenarios.

Innovation Solution

A system comprising storage media devices controlled by a storage controller that passively monitors network traffic to automatically detect and archive video data, processing it for on-demand access, using image recognition and motion detection algorithms to determine storage rules and configurations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If network storage systems manually configure video storage, then storage control is precise, but automation is low and requires manual intervention

Engineering Contradiction:

Improveautomatic detection and archival of video dataVSAvoidsystem complexity for automatic detection

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The storage system automatically detects video data in network traffic and configures storage parameters without human intervention. The system monitors network packets, identifies video content using detection algorithms, and autonomously determines storage rules based on usage frequency and content analysis, enabling self-service operation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary detection of video data in network traffic before storage is required. By proactively identifying video content and pre-configuring storage parameters based on predicted usage patterns, the system prepares storage resources in advance, automating the entire process from detection to archival.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If all video data is stored uniformly, then storage is simple, but storage efficiency is low and does not optimize for access patterns

Engineering Contradiction:

Improvestorage efficiency and retrieval speedVSAvoidcomplexity of storage management

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system applies different storage rules to different video data based on local characteristics. Video data is analyzed for content type, usage frequency, and access patterns, and storage parameters such as retention period, storage location, and prioritization are customized for each video segment, optimizing storage efficiency for diverse access scenarios.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

Storage parameters are dynamically adjusted based on observed usage patterns. The system continuously monitors video data access behavior and automatically modifies storage configurations, such as moving frequently accessed videos to faster storage media or extending retention periods for popular content, making the storage system adaptive and efficient.

Inventive Principle:

Principle #15Dynamics

3Adaptability or versatility

If video data is not archived, then storage space is conserved, but video-on-demand capability is lost

Engineering Contradiction:

Improvevideo-on-demand capabilityVSAvoidstorage space consumption

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The system archives video data selectively rather than universally. By detecting usage frequency and access patterns, the system archives only the necessary portion of video data required for video-on-demand service, avoiding unnecessary storage consumption while maintaining the required versatility for on-demand access to popular content.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS10764618B1System, method and article of manufacture for automatic detection and storage/archival of network video in a video-on-demand scenario

Publication Date: 2020.09.01 XTREAMEDGE INC

AI summary

A storage controller controls a plurality of storage media devices and a network interface passively monitors network traffic and automatically detects video data in at least a portion of said network traffic, where the storage controller archives the video data in the storage media devices and processes the archived video data to serve the archived video data as video-on-demand data.