Content Request Index Caching for Fragment Server Seek Bottlenecks
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Solution Overview
Problem
The performance bottleneck in fragment servers due to high seek times on spinning disk storage is exacerbated by the increasing number of requests, and replacing these with solid-state disks is prohibitively expensive.
Innovation Solution
Implementing a caching mechanism that stores index data while avoiding caching of actual content, using techniques like O_DIRECT flag in NFS, Redis, or MongoDB to manage index requests efficiently, and maintaining a cache of indexes to minimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If spinning disk storage is used to store digital media and fragment indexes, then storage cost is low, but seek time becomes a performance bottleneck when requests increase
Solution Approach 1:
The patent segments the storage system into two distinct parts: a spinning disk storage device for cost-effective bulk data storage, and a solid-state cache device for high-speed index access. This segmentation allows each component to optimize for its specific function, resolving the contradiction between low cost and low seek time by distributing work across different storage technologies with complementary characteristics.
Solution Approach 2:
The solid-state cache acts as an intermediary between the spinning disk storage and the fragment server. It mediates access to fragment indexes by caching frequently accessed index data in high-speed solid-state memory, thereby reducing the seek time bottleneck without requiring the entire storage system to be solid-state, thus maintaining cost-effectiveness.
2Loss of time
If solid-state disks replace spinning disk storage, then seek time is reduced, but cost increases ten times
Solution Approach 1:
The patent applies local quality by providing high-speed solid-state storage only where it is most needed - for caching fragment indexes that require frequent access. The bulk data storage remains on cost-effective spinning disks. This localized application of expensive technology optimizes performance for the critical path while maintaining overall cost-effectiveness.
Solution Approach 2:
The system creates copies of fragment index data in the solid-state cache from the spinning disk storage. These cached copies are used for rapid access during fragment requests, eliminating the need for expensive full solid-state storage while achieving the seek time benefits where needed.
3Loss of time
If index data is cached in storage, then index request processing time is reduced, but memory resources are consumed
Solution Approach 1:
The patent implements partial caching by storing only fragment index data in the solid-state cache, while leaving actual fragment content on the spinning disks. This partial action approach caches only the critical metadata needed for rapid request routing, minimizing cache memory usage while still achieving the goal of reducing index request processing time.
Data Source
AI summary
Methods and systems for managing data and transmission of content are disclosed. A computing device may receive a request for content. The computing device may determine data associated with the requested content.