Cache Policy Control via Count-Limit Headers
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Solution Overview
Problem
Conventional content delivery networks (CDNs) face inefficiencies due to cache devices serving outdated content without updating, leading to strained computing and network resources as they require every request to be forwarded to the origin server for load balancing, which wastes resources and reduces efficiency.
Innovation Solution
Implementing a method where cache devices receive a header with a count-limit value specifying the number of times an object can be served before revalidation, allowing them to serve the object until this limit is reached and then request revalidation, thereby controlling traffic and reducing the load on origin servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cache devices forward every request to the origin server for load balancing, then traffic is effectively managed and service endpoints are balanced, but computing and network resources are strained and efficiency is reduced
Solution Approach 1:
The origin server performs preliminary action by setting a count-limit value in the header before the cache device serves the object. This pre-configured limit enables the cache device to autonomously determine when to revalidate without needing continuous origin server intervention for each request, thereby improving CDN efficiency while conserving resources.
Solution Approach 2:
The cache device performs self-service by autonomously tracking the number of times it has served the object and automatically deciding when to revalidate based on the count-limit value stored in the header. This eliminates the need for the origin server to process every individual request, reducing the computational and network burden on the origin server while maintaining effective traffic management.
2Loss of energy
If cache devices serve objects without revalidation, then resource consumption is reduced, but outdated content is served causing service endpoint overload
Solution Approach 1:
The system implements feedback by having the cache device track the number of times it has served the object and use this information to determine when revalidation is needed. The count-limit value in the header provides feedback information that enables the cache device to automatically trigger revalidation when the limit is reached, ensuring content validity while minimizing unnecessary resource consumption.
Solution Approach 2:
The system implements periodic action by establishing a predetermined period (count-limit value) during which the cache device can serve the object without revalidation. After this periodic interval expires, the cache device must revalidate the object before serving it again. This periodic revalidation mechanism ensures content remains valid while avoiding continuous resource consumption.
Data Source
AI summary
Various embodiments of the present disclosure relate to a computer-implemented method of receiving a header associated with an object, where the header includes a limit value that specifies a quantity of times the object is to be served from a cache device before revalidation, and a current count value that specifies a number of times that the object has been served since a most-recent revalidation or load, receiving a request for the object from a requesting device, and upon determining that the current count value is below the limit value, serving the object to the requesting device from the cache device, or upon determining that the current count value matches the limit value, transmitting a request for revalidating the object.