Research Article

Public Safety Networks: Cloud Infrastructure for Coordinated Emergency Response

Authors

  • Lakshmi Vara Prasad Adusumilli University of Houston Clear Lake, USA

Abstract

This article examines how cloud technologies and middleware solutions are transforming traditionally isolated emergency response systems into interconnected networks that significantly enhance coordination during crisis events. The technical architecture of modern public safety networks leverages cloud-native infrastructure with elastic scalability, resilient design, and distributed processing capabilities that dramatically improve performance during high-demand scenarios. Microservices transformation through decomposition strategies, containerized deployment, and continuous integration pipelines enables rapid evolution of these critical systems. The middleware integration layer facilitates seamless data exchange and normalization across disparate emergency platforms. Advanced capabilities including AI-powered decision support systems, IoT sensor networks, and drone surveillance technologies extend the reach and effectiveness of emergency services. The article also addresses implementation challenges related to security considerations through zero trust architecture and reliability engineering practices. Beyond technical aspects, it examines societal implications and governance frameworks necessary to balance technological capabilities with privacy protections, algorithmic fairness, and transparent oversight mechanisms that ensure these powerful systems serve all community members equitably.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (4)

Pages

598-606

Published

2025-05-17

How to Cite

Lakshmi Vara Prasad Adusumilli. (2025). Public Safety Networks: Cloud Infrastructure for Coordinated Emergency Response. Journal of Computer Science and Technology Studies, 7(4), 598-606. https://doi.org/10.32996/jcsts.2025.7.4.70

Downloads

Views

24

Downloads

23

Keywords:

Cloud-native emergency systems, Middleware integration, AI-powered decision support, IoT sensor networks, Emergency governance frameworks