Published July 14, 2021 | Version v1
Conference paper

No-Regret Caching via Online Mirror Descent

Description

We study an online caching problem in which requests can be served by a local cache to avoid retrieval costs from a remote server. The cache can update its state after a batch of requests and store an arbitrarily small fraction of each content. We study no-regret algorithms based on Online Mirror Descent (OMD) strategies. We show that the choice of OMD strategy depends on the request diversity present in a batch and that OMD caching policies may outperform traditional eviction-based policies.

Abstract

International audience

Additional details

Created:
December 4, 2022
Modified:
November 29, 2023