Enabling Cloud Computing in Emergency Management Systems
- 1 November 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Cloud Computing
- Vol. 1 (4), 60-67
- https://doi.org/10.1109/mcc.2014.71
Abstract
Emergencies, including both natural and man-made disasters, increasingly pose an immediate threat to life, health, property, and environment. For example, Hurricane Katrina, the deadliest and most destructive Atlantic tropical cyclone of the 2005 Atlantic hurricane season, led to at least 1,883 people's death and an estimated loss of -108 billion property. To reduce the damage by emergencies, a wide range of cutting-edge technologies on medicine and information are used in all phases of emergency management. This article proposes a cloud-based emergency management system for environmental and structural monitoring that utilizes the powerful computing and storage capability of datacenters to analyze the mass data collected by the wireless intelligent sensor network deployed in civil environment. The system also benefits from smartphone and social network platform to setup the spatial and population models, which enables faster evacuation and better resource allocation.Keywords
This publication has 7 references indexed in Scilit:
- Design and Optimization of Traffic Balance Broker for Cloud-Based Telehealth PlatformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Natural Disaster Monitoring with Wireless Sensor Networks: A Case Study of Data-intensive Applications upon Low-Cost Scalable SystemsMobile Networks and Applications, 2013
- Spatial Computing and Social Media in the Context of Disaster ManagementIEEE Intelligent Systems, 2012
- Online optimization for scheduling preemptable tasks on IaaS cloud systemsJournal of Parallel and Distributed Computing, 2012
- Cloud Computing: a Perspective StudyNew Generation Computing, 2010
- MapReduceCommunications of the ACM, 2008
- Maintaining Reliability Through Activity Management in an 802.15.4 Sensor ClusterIEEE Transactions on Vehicular Technology, 2006