Effective Real Time Disaster Management Using Optimized Scheduling

ABSTRACT

In recent years we face many types of natural and man-created disasters such as tsunamis, earthquakes, hurricanes, Covid-19 pandemic, terrorist attacks, floods, etc. which cause diverse and worse effects on our daily lives and economy. In order to mitigate the impact of such disasters and reduce the causality, economic loss during disaster response cycle, the different disaster management resources such as rescue teams, transportation, healthcare and related services must be schedule and allocated efficiently. In this research, we proposed the Cluster-Based Real–Time Disaster Resource Management Framework which used edge and computing-based real-time scheduling of various resources and emergency services in disaster management. The edge computing resources are grouped into the cluster and a set of tasks is assigned to the cluster and scheduled on the edge computing cluster to increase resource utilization and acceptance rate which is the problem of existing partitioned scheduling and reduces response time, and overhead due to communication and migration which is the issue in exiting scheduling. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.