Adaptive Offline and Online Similarity-Based Caching
Networking and Internet Architecture
2020-10-16 v1
Abstract
With similarity-based content delivery, the request for a content can be satisfied by delivering a related content under a dissimilarity cost. This letter addresses the joint optimization of caching and similarity-based delivery decisions across a network so as to minimize the weighted sum of average delay and dissimilarity cost. A convergent alternate gradient descent ascent algorithm is first introduced for an offline scenario with prior knowledge of the request rates, and then extended to an online setting. Numerical results validate the advantages of the approach with respect to standard per-cache solutions.
Cite
@article{arxiv.2010.07585,
title = {Adaptive Offline and Online Similarity-Based Caching},
author = {Jizhe Zhou and Osvaldo Simeone and Xing Zhang and Wenbo Wang},
journal= {arXiv preprint arXiv:2010.07585},
year = {2020}
}
Comments
accepted for publication on IEEE Networking Letters