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Effective Real Time Disaster Management Using Optimized Scheduling

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Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1762))

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.

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Authors and Affiliations

  1. G H Raisoni College of Engineering, Nagpur, MH, India

    Girish Talmale & Urmila Shrawankar

Authors
  1. Girish Talmale
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  2. Urmila Shrawankar
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Corresponding author

Correspondence to Girish Talmale .

Editor information

Editors and Affiliations

  1. Maulana Azad National Institute of Technology, Bhopal, India

    Nilay Khare

  2. Maulana Azad National Institute of Technology, Bhopal, India

    Deepak Singh Tomar

  3. Maulana Azad National Institute of Technology, Bhopal, India

    Mitul Kumar Ahirwal

  4. Maulana Azad National Institute of Technology, Bhopal, India

    Vijay Bhaskar Semwal

  5. Maulana Azad National Institute of Technology, Bhopal, India

    Vaibhav Soni

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Talmale, G., Shrawankar, U. (2022). Effective Real Time Disaster Management Using Optimized Scheduling. In: Khare, N., Tomar, D.S., Ahirwal, M.K., Semwal, V.B., Soni, V. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2022. Communications in Computer and Information Science, vol 1762. Springer, Cham. https://doi.org/10.1007/978-3-031-24352-3_9

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  • DOI: https://doi.org/10.1007/978-3-031-24352-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24351-6

  • Online ISBN: 978-3-031-24352-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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