Request-Aware Edge Caching to Reduce Search Latency and Memory Use
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Solution Overview
Problem
Existing edge device caching strategies either waste memory with eager caching or increase latency with lazy caching, failing to adapt to the specific needs of client applications and request types.
Innovation Solution
An edge device dynamically adjusts caching strategies based on the identity of the client application and the type of request, selectively caching metadata or search results to conserve memory and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If eager caching is used to cache all search results, then data delivery speed is improved, but memory usage increases
Solution Approach 1:
The patent implements dynamic caching strategies that adapt to different client application types and request characteristics. The edge server dynamically determines whether to cache metadata only or full search results based on client identity and request type, making the caching behavior flexible rather than static. This resolves the contradiction by allowing the system to optimize for speed when appropriate while conserving memory when full caching is unnecessary.
Solution Approach 2:
The patent applies different caching strategies to different client applications and request types. Instead of using a uniform eager caching approach for all clients, the system tailors the caching behavior locally to each client's needs and characteristics. This allows memory-intensive full caching only for clients that benefit from it, while other clients receive metadata-only responses, resolving the memory usage issue.
2Quantity of substance
If lazy caching is used to cache minimal data, then memory usage is reduced, but latency increases
Solution Approach 1:
The system dynamically adjusts the caching strategy based on client application type and request characteristics. For clients that require fast data delivery, the system implements eager caching of full search results, reducing latency. For other clients, metadata-only caching is used to conserve memory. This dynamic adaptation resolves the contradiction between memory usage and latency.
Solution Approach 2:
Different caching approaches are applied locally to different client applications. Clients with high latency requirements receive full search result caching, while memory-constrained clients receive metadata-only responses. This localized differentiation allows the system to minimize latency for appropriate clients without universally increasing memory usage.
3Device complexity
If uniform caching strategy is applied to all client applications, then system complexity is reduced, but adaptability to specific client needs deteriorates
Solution Approach 1:
The patent changes the parameters of the caching strategy based on client application type and request characteristics. By modifying caching behavior parameters (metadata-only vs. full results) according to client identity and request type, the system achieves high adaptability without requiring complex custom logic for each client. This parameter-based approach resolves the contradiction between simplicity and adaptability.
Solution Approach 2:
The edge server implements a universal caching mechanism that serves multiple client application types with different requirements. A single caching system handles both metadata-only requests and full search result requests by dynamically adjusting its behavior. This multi-functional approach allows one system to serve diverse client needs without requiring separate caching infrastructures, maintaining simplicity while achieving adaptability.
Data Source
AI summary
In some implementations, an edge device may receive a request from a client application indicating one or more search parameters associated with one or more search queries. The edge device may determine an identity of the client application and a type of the request based on the one or more search parameters. The edge device may selectively either cache metadata associated with search results for the one or more search queries or cache the search results, based on the identity of the client application and the type of the request. Accordingly, the edge device may deliver the cached metadata or at least a portion of the cached search results to the client application.