Metadata-Based Caching System for Dynamic Data Validation
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Solution Overview
Problem
Existing HTTP caching methods are inadequate for handling data marked as 'no cache' and struggle with determining the validity of cached data, particularly in dynamic environments, leading to inefficiencies in data transmission and potential semantic transparency issues.
Innovation Solution
A meta-data based caching system that utilizes client and server proxies to calculate and compare meta-data associated with cached data, determining cache validity and optimizing data transmission by using computed characteristics such as URL, data type, length, and hash values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If HTTP caching is used to reduce data transmission volume, then data transmission efficiency is improved, but cache validity determination becomes unreliable for dynamic data
Solution Approach 1:
The patent implements a feedback mechanism where the client sends the ETag value from cached data back to the server for validation. The server responds with validation results, allowing the client to determine whether cached data is still valid. This feedback loop resolves the contradiction by providing reliable cache validity determination for dynamic data while maintaining caching benefits.
Solution Approach 2:
The patent applies preliminary action by pre-calculating and storing metadata (such as ETag values) when data is first cached. This preliminary preparation enables rapid validity checking later without requiring full data retransmission, thus maintaining high transmission efficiency while improving reliability of cache validation.
2Measurement precision
If explicit expiration times are provided by the server, then cache control accuracy is improved, but server complexity increases
Solution Approach 1:
The patent extracts the cache control mechanism from the server by using ETags and client-side validation. Instead of the server managing explicit expiration times and complex cache control logic, the server only needs to generate and return ETag values. The actual cache validity determination is performed by the client, reducing server complexity while maintaining precise cache control.
3Loss of time
If cached data is used without validation, then data transmission time is reduced, but semantic transparency is compromised
Solution Approach 1:
The patent applies partial action by performing only essential validation checks (ETag comparison) rather than full data verification. This partial validation approach maintains semantic transparency by ensuring data validity while minimizing additional transmission time, striking a balance between the two competing requirements.
Data Source
AI summary
A system and method for caching data and verifying cached data using a client-server model and meta-data. In particular, a client proxy and a server proxy are in communication with each other and with the client and the server, respectively; client proxy meta-data and server proxy meta-data related to the data cached by the client proxy and server proxy, respectively, are calculated and communicated between the client proxy and the server proxy; and the client proxy meta-data and the server proxy meta-data are compared to determine a cache hit or miss.