IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Exploring Cloud-Based Distributed Disaster Management With Dynamic Multi-Agents Workflow System

Exploring Cloud-Based Distributed Disaster Management With Dynamic Multi-Agents Workflow System
View Sample PDF
Author(s): Mansura Habiba (AIUB, Bangladesh)and Shamim Akhter (East West University, Bangladesh)
Copyright: 2018
Pages: 29
Source title: Smart Technologies for Emergency Response and Disaster Management
Source Author(s)/Editor(s): Zhi Liu (Waseda University, Japan)and Kaoru Ota (Muroran Institute of Technology, Japan)
DOI: 10.4018/978-1-5225-2575-2.ch006

Purchase

View Exploring Cloud-Based Distributed Disaster Management With Dynamic Multi-Agents Workflow System on the publisher's website for pricing and purchasing information.

Abstract

Natural disaster is one of the important topics in current researches. Disaster Management System (DMS) is a complex system and needs to perform a collection of tasks collaboratively along with the potentiality to change the configurations of the system dynamically. In the research era of workflow model, existing models mainly deal with temporal and static constrains. However they cannot be used to keep pace with an uncertainly dynamic system like disaster management. Considering all these significant DMS attributes we have designed a new dynamically configurable and changeable workflow model with the support of adaptive scheduling, for both successful and failed situations, and implemented in a distributed cloud system to maintain the rescue and reorganization activities of disaster situation. In order to simplify the system architecture, we have used Multi Agent System (MAS) for our design. The proposed system achieves a comparatively higher rate of successful job completion-higher rescheduling success rate and comparatively lower dropout rate.

Related Content

Yahya Gülseven. © 2022. 16 pages.
Sujit Kumar Bala, A.K.M. Saiful Islam, GM Tarekul Islam, Motahar Hosen. © 2022. 24 pages.
Modupe Olufunmilayo Jimoh, Samuel Oluwatosin Jacob-Oricha. © 2022. 17 pages.
Alice Liddell, Marco Geron, Eoin Cunningham, Beatrice M. Smyth. © 2022. 19 pages.
Viola Marcia van Onselen, Tsung-Yi Lin, Phu Le Vo, Thao Danh Nguyen. © 2022. 21 pages.
Christia Meidiana, Tonni Agustiono Kurniawan, Adipandang Yudono, Surjono Surjono. © 2022. 16 pages.
Pham Thi Anh, Tien Thuy Nguyen, Tuan Anh Nguyen, Dong Doan Van. © 2022. 11 pages.
Body Bottom