HRAS: Hybrid resource allocation system for large-scale disasters

Rong Guei Tsai, Pei-Hsuan Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the advancement of health care and technology, establishing a highly fast, accurate, and efficient medical system has been an ultimate goal for a country or a government. When a large-scale disaster with dozens of patients or more occurs, it often results in short supply of immediate medical resources to the patients, such as long waiting time for ambulances that causes a patient's death. In this paper, we establish a hybrid resource allocation system to model the problem as a hard real-time problem, and analyze two current scheduling algorithms for real-time system, namely clock driven (e.g. hospital assignment for emergency patients, HAEP) and priority driven (e.g. earliest deadline first, EDF). We further design a medical resource allocation algorithm which aims to reduce the computing time of the system and improve the accuracy of the allocation of medical resources. By making it suitable for large-scale disaster, it is hoped to be adopted by the disaster relief personnel and the government.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Information, Communication and Engineering
Subtitle of host publicationInformation and Innovation for Modern Technology, ICICE 2017
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages235-237
Number of pages3
ISBN (Electronic)9781538632024
DOIs
Publication statusPublished - 2018 Oct 1
Event2017 IEEE International Conference on Information, Communication and Engineering, ICICE 2017 - Xiamen, Fujian, China
Duration: 2017 Nov 172017 Nov 20

Publication series

NameProceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017

Other

Other2017 IEEE International Conference on Information, Communication and Engineering, ICICE 2017
CountryChina
CityXiamen, Fujian
Period17-11-1717-11-20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

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