Fresh Caching of Dynamic Content: Algorithm and Implementation

The Need

In today's data-driven world, efficient caching of dynamic content is crucial for delivering timely and responsive services. Conventional caching methods struggle to adapt to frequent updates in the back-end database, leading to suboptimal system costs and decreased user satisfaction. There is a clear need for a technology that can manage 'fresh' caching of dynamic content efficiently and guarantee cost-effective content delivery.

The Technology

A comprehensive framework with proven-efficient schemes for 'fresh' caching in local caches bridges the gap between dynamic content updates in the back-end database and front-end content delivery. We achieve this through the following key components:

  1. Time-Based-Eviction Model: We introduce a flexible time-based-eviction model, which accounts for aging content in addition to regular cache misses. This model forms the basis for measuring the system's cost due to content serving.
  2. Cache-Unconstrained and Soft-Cache-Constrained Optimization: Refresh dynamics and content popularity influence optimal caching decisions, ensuring efficient utilization of cache resources. When cache use is limited, popularity level and channel reliability govern whether to cache locally. Length of cache time is guided by refresh rate.

Commercial Applications

  • Content Delivery Networks: This algorithm improves the efficiency of content caching, leading to faster content retrieval and reduced server load.
  • Online Streaming Services: Streaming platforms can benefit from our framework by optimizing the caching of frequently updated content, ensuring a seamless user experience.
  • E-commerce Platforms: E-commerce websites can enhance user satisfaction by efficiently caching product listings that undergo frequent updates, reducing load times and improving the overall shopping experience.


  • Optimized Cache Management: Our technology enables businesses to make data-driven decisions on what to cache and how long to keep it, leading to improved cache performance and reduced content delivery costs.
  • Enhanced User Experience: By ensuring that users receive the most up-to-date content quickly, our technology enhances user satisfaction and engagement.
  • Cost Savings: Our approach allows organizations to achieve substantial cache gains while minimizing costs, making it a cost-effective solution as database sizes grow.

Loading icon