eprintid: 4617
rev_number: 14
eprint_status: archive
userid: 408
dir: disk0/00/00/46/17
datestamp: 2021-10-15 02:47:39
lastmod: 2021-10-15 02:47:39
status_changed: 2021-10-15 02:47:39
type: article
metadata_visibility: show
creators_name: Pham, Manh Linh
creators_name: Parlavantzas, Nikos
creators_name: Lê, Huy Hàm
creators_name: Bui, Quang Hung
creators_id: linhmp@vnu.edu.vn
creators_id: nikos.parlavantzas@irisa.fr
creators_id: lhham@agi.ac.vn
creators_id: hungbq@vnu.edu.vn
title: Towards a Framework for High-Performance Simulation of Livestock Disease Outbreak: A Case Study of Spread of African Swine Fever in Vietnam
ispublished: pub
subjects: IT
subjects: Scopus
subjects: at
subjects: isi
divisions: FIMO
divisions: fac_fit
keywords: veterinary epidemiology; African swine fever; high-performance simulation; modeling; transmission and spread
abstract: The spread of disease in livestock is an important research topic of veterinary epidemiology because it provides warnings or advice to organizations responsible for the protection of animal health in particular and public health in general. Disease transmission simulation programs are often deployed with different species, disease types, or epidemiological models, and each research team manages its own set of parameters relevant to their target diseases and concerns, resulting in limited cooperation and reuse of research results. Furthermore, these simulation and decision support tools often require a large amount of computational power, especially for models involving tens of thousands of herds with millions of individuals spread over a large geographical area such as a region or a country. It is a matter of fact that epidemic simulation programs are often heterogeneous, but they often share some common workflows including processing of input data and execution of simulation, as well as storage, analysis, and visualization of results. In this article, we propose a novel architectural framework for simultaneously deploying any epidemic simulation program both on premises and on the cloud to improve performance and scalability. We also conduct some experiments to evaluate the proposed architectural framework on some aspects when applying it to simulate the spread of African swine fever in Vietnam.
date: 2021-09
date_type: published
publisher: MDPI
official_url: https://www.mdpi.com/2076-2615/11/9/2743
id_number: doi:10.3390/ani11092743
contact_email: linhmp@vnu.edu.vn
full_text_status: public
publication: Animals
volume: 11
number: 9
pagerange: 2743
refereed: TRUE
issn: 2076-2615
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funders: VNU University of Engineering and Technology
funders: French Embassy in Vietnam
projects: QG.20.55
projects: French Embassy in Vietnam: Managing epidemic simulation applications in cloud environments
citation:   Pham, Manh Linh and Parlavantzas, Nikos and Lê, Huy Hàm and Bui, Quang Hung  (2021) Towards a Framework for High-Performance Simulation of Livestock Disease Outbreak: A Case Study of Spread of African Swine Fever in Vietnam.  Animals, 11  (9).   p. 2743.  ISSN 2076-2615     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4617/1/animals-11-02743.pdf