The storage system requirements for large-scale video processing are critical to ensure efficient data handling, high throughput, and reliability. Here’s a breakdown of key requirements along with explanations and examples:
1. High Capacity
- Requirement: Video files, especially in 4K/8K or high-frame-rate formats, consume significant storage. The system must scale to petabytes (PB) or even exabytes (EB) for large datasets.
- Example: A media company processing thousands of hours of raw footage daily may need hundreds of terabytes (TB) just for temporary storage.
- Recommended Solution: Use scalable object storage like Tencent Cloud COS (Cloud Object Storage), which supports massive data volumes with seamless expansion.
2. High Throughput
- Requirement: Video processing involves reading/writing large data chunks quickly. The storage must deliver high IOPS (Input/Output Operations Per Second) and bandwidth (GB/s or TB/s).
- Example: Real-time video transcoding or AI-based analysis (e.g., object detection) requires fast access to frames.
- Recommended Solution: Tencent Cloud CFS (Cloud File Storage) or high-performance block storage (like CBS) ensures low-latency access for compute-intensive tasks.
3. Low Latency
- Requirement: For real-time editing, streaming, or AI inference, storage must minimize delays in data retrieval.
- Example: A live video editing platform needs sub-millisecond latency to preview edits smoothly.
- Recommended Solution: NVMe-based SSDs or Tencent Cloud High-Performance Cloud Disk reduce latency for time-sensitive operations.
4. Scalability & Elasticity
- Requirement: Workloads fluctuate (e.g., seasonal video uploads), so storage should dynamically scale up/down.
- Example: A video-sharing app may experience sudden spikes during viral events.
- Recommended Solution: Tencent Cloud COS and auto-scaling block storage allow pay-as-you-go flexibility.
5. Data Durability & Redundancy
- Requirement: Videos are irreplaceable; storage must prevent data loss via replication (e.g., 3x copies) and backup.
- Example: A surveillance system storing critical footage needs 99.999999999% (11 nines) durability.
- Recommended Solution: Tencent Cloud COS offers multi-AZ redundancy and versioning.
6. Cost Efficiency
- Requirement: Balancing performance and cost is vital—hot data (frequently accessed) should use fast storage, while cold data (archived) uses cheaper tiers.
- Example: Storing raw footage on high-speed SSDs temporarily, then archiving processed videos to low-cost tiers.
- Recommended Solution: Tencent Cloud COS supports lifecycle policies to move data to cheaper storage classes automatically.
7. Metadata Management
- Requirement: Efficient indexing of video files (e.g., resolution, timestamps) speeds up retrieval.
- Example: A content management system (CMS) needs fast metadata queries for video search.
- Recommended Solution: Use Tencent Cloud TDSQL or NoSQL databases alongside storage for structured metadata.
8. Security & Access Control
- Requirement: Videos may contain sensitive data, requiring encryption (at rest/in transit) and role-based access.
- Example: A healthcare platform storing patient video records must comply with HIPAA-like regulations.
- Recommended Solution: Tencent Cloud CAM (Cloud Access Management) enforces strict permissions, and COS supports server-side encryption.
By meeting these requirements, a storage system can handle large-scale video processing efficiently. Tencent Cloud provides integrated solutions (COS, CFS, CBS, etc.) tailored for such workloads.