Abstract
Systems and methods are described for converting collaborative memory propagation write activity into selective cache warming for recommendation-serving data. Upon a propagation event that writes preference information for a target user, a controller estimates a warming value based on a return probability for the target user, cache hit probability, storage latency, and request frequency. The return probability may be elevated using social clustering signals including co-activity, tie strength, and temporal patterns. Subject to a storage bandwidth warming budget (e.g., token-bucket limited and traffic-health adaptive), the controller issues an asynchronous warming read that loads the target user embedding or profile data into an L2 cache in parallel with the propagation write. A monitor measures whether warmed entries are accessed before eviction and adjusts warming aggressiveness or budget based on warming effectiveness.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Write-Amplification-to-Cache-Warming Conversion for Collaborative Memory Propagation in Recommendation Systems", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10706