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title Online Caching in Tree Networks: Algorithms, Regret, and Complexity
section Poster
openreview T96umoMcab
abstract We study the problem of online caching when the caches are arranged in a tree network – the root is the source, the clients are at the leaves, and the intermediate nodes are the caches. Each client’s request for a file is forwarded up the tree until a cache hit occurs, or the request reaches the root node, with hits at lower levels of the tree yielding higher rewards. The goal is to maximize the total reward over a sequence of requests. The tree-caching problem models caching in many content delivery networks (CDNs) and generalizes work on caching in more restricted network models, such as those with a single client connected to a single cache or a single client connected to a multi-level cache. We show that for general tree networks, finding the optimal static offline caching configuration for a given request sequence is NP-Hard. However, in the natural setting where the tree has bounded depth and large enough cache capacities, we present an algorithm that computes a near-optimal configuration with high probability in polynomial time. We then leverage this result to give an online algorithm that achieves $(1+\epsilon)-$approximate sublinear regret for adversarial request sequences when the cache capacity $C$ satisfies $C = \tilde\Omega(\frac{1}{\epsilon^2})$. Numerical simulations show that our algorithm outperforms several natural baseline strategies.
layout inproceedings
series Proceedings of Machine Learning Research
publisher PMLR
issn 2640-3498
id joshi26a
month 0
tex_title Online Caching in Tree Networks: Algorithms, Regret, and Complexity
firstpage 925
lastpage 952
page 925-952
order 925
cycles false
bibtex_author Joshi, Ativ and De, Rajat and Bhattacharjee, Rajarshi and Musco, Cameron N and Sinha, Abhishek and Hajiesmaili, Mohammad
author
given family
Ativ
Joshi
given family
Rajat
De
given family
Rajarshi
Bhattacharjee
given family
Cameron N
Musco
given family
Abhishek
Sinha
given family
Mohammad
Hajiesmaili
date 2026-06-07
address
container-title Proceedings of The 8th Annual Learning for Dynamics and Control Conference
volume 331
genre inproceedings
issued
date-parts
2026
6
7
pdf https://raw.githubusercontent.com/mlresearch/v331/main/assets/joshi26a/joshi26a.pdf
extras