Online Caching with Optimistic Learning

The design of effective online caching policies is an increasingly important problem for content distribution networks, online social networks and edge computing services, among other areas. This paper proposes a new algorithmic toolbox for tackling this problem through the lens of optimistic online...

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Vydané v:	arXiv.org
Hlavní autori:	Mhaisen, Naram, Iosifidis, George, Leith, Douglas
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 20.04.2022
Predmet:	Algorithms Caching Decision theory Design optimization Distance learning Edge computing Machine learning Policies Recommender systems Social networks
ISSN:	2331-8422
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