Sequential Dynamic Resource Allocation for Epidemic Control

Autor:	Fekom, Mathilde, Vayatis, Nicolas, Kalogeratos, Argyris
Rok vydání:	2019
Předmět:	Electrical Engineering and Systems Science - Systems and Control Computer Science - Artificial Intelligence Computer Science - Discrete Mathematics Computer Science - Social and Information Networks Mathematics - Optimization and Control 68W27 65C50 90B15
Druh dokumentu:	Working Paper
Popis:	Under the Dynamic Resource Allocation (DRA) model, an administrator has the mission to allocate dynamically a limited budget of resources to the nodes of a network in order to reduce a diffusion process (DP) (e.g. an epidemic). The standard DRA assumes that the administrator has constantly full information and instantaneous access to the entire network. Towards bringing such strategies closer to real-life constraints, we first present the Restricted DRA model extension where, at each intervention round, the access is restricted to only a fraction of the network nodes, called sample. Then, inspired by sequential selection problems such as the well-known Secretary Problem, we propose the Sequential DRA (SDRA) model. Our model introduces a sequential aspect in the decision process over the sample of each round, offering a completely new perspective to the dynamic DP control. Finally, we incorporate several sequential selection algorithms to SDRA control strategies and compare their performance in SIS epidemic simulations. Comment: 6 pages, 5 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1909.09678 Zobrazit plný text záznamu View this record from Arxiv