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Spatio-temporal Edge Service Placement: A Bandit Learning Approach. Shared edge computing platforms deployed at the radio access network are expected to significantly improve quality of service delivered by Application Service Providers (ASPs) in a flexible and economic way.
Oct 7, 2018
Spatio-temporal Edge Service Placement: A Bandit ... The spatial-temporal edge service placement ... which also takes a contextual bandit learning approach similar.
This paper proposes SEEN, a Spatial-temporal Edge sErvice placemeNt algorithm, a novel combinatorial contextual bandit learning problem of an ASP under a ...
We pose this problem as a novel combinatorial contextual bandit learning problem. It is "combinatorial" because only a limited number of edge sites can be ...
Dec 1, 2018 · We pose this problem as a novel combinatorial contextual bandit learning problem. It is “combinatorial” because only a limited ...
Oct 7, 2018 · [40] Online appendix: Spatio-temporal edge service placement: A bandit learning approach. [Online]. Available: https://www. dropbox.com/sh ...
Federated LearningMulti-Armed BanditsNetworked ML/AI SystemsEdge Computing ... Spatio–temporal edge service placement: A bandit learning approach. L Chen, J ...
[23] designed a spatio-temporal edge service placement scheme by using bandit learning, which can maximize the maximum utility of the service provider. As ...
Spatio–temporal edge service placement: A bandit learning approach. L Chen, J ... Budget-constrained edge service provisioning with demand estimation via bandit ...