Open Access
Synthesizing Elastic Cloud Architectures and Big Data Analytics for Enhanced Natural Disaster Response and Resource Optimization
4
Department of Computational Sciences, University of Melbourne, Australia
Abstract
The rapid escalation of global climate volatility has necessitated the development of highly responsive and scalable computational frameworks to manage natural disasters. This research investigates the intersection of elastic cloud computing, big data analytics, and artificial intelligence (AI) as a tripartite solution for optimizing disaster response and resource allocation. By synthesizing contemporary advancements in serverless computing, edge-to-cloud continuums, and deep learning frameworks, this study provides a comprehensive blueprint for real-time crisis management. We explore the role of Apache Hadoop and Spark in processing massive log files and sensor data, the implications of heterogeneous cloud infrastructures on autoscaling, and the deployment of AI for fraud detection and financial integrity during emergency aid distribution. Central to this analysis is the integration of Amazon Web Services (AWS) analytics to facilitate precision in logistical operations. The study reveals that the combination of elasticity and edge computing significantly reduces latency in healthcare delivery during emergencies while maintaining high data throughput. This article elaborates on the theoretical paradigms of cloud elasticity, the architectural challenges of heterogeneous resource provisioning, and the socio-technical implications of AI-driven disaster mitigation.
Keywords
Cloud Computing,
Big Data Analytics,
Natural Disaster Response,
Resource Allocation
References
Ahmed, F., Ali, J., & Rehman, H. (2021). Elasticity in cloud computing for big data: An evaluation. Journal of Cloud Elasticity, 6(3), 85-97. https://doi.org/10.1016/j.jce.2021.04.003
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., ... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
Baldini, I., Castro, P., Chang, K., Cheng, P., Fink, S., Ishakian, V., ... & Suter, P. (2017). Serverless computing: Current trends and open problems. Research advances in cloud computing, 1-20.
Chen, M., Mao, S., Zhang, Y., & Leung, V. C. (2014). Big data: related technologies, challenges and future prospects (Vol. 100). Heidelberg: Springer.
Chouhan, A., & Verma, R. (2022). Edge vs cloud computing for big data: A healthcare case study. Journal of Edge Computing, 7(1), 22-32. https://doi.org/10.1016/j.jec.2022.02.005
Fernandez, H., Pierre, G., & Kielmann, T. (2014, March). Autoscaling web applications in heterogeneous cloud infrastructures. In 2014 IEEE international conference on cloud engineering (pp. 195-204). IEEE.
Liu, X., Zhang, R., & Lee, C. (2022). Deep learning frameworks for big data analytics on cloud platforms. AI and Cloud Computing, 8(2), 57-72. https://doi.org/10.1016/j.aicc.2022.04.002
Mavridis, I., & Karatza, H. (2017). Performance evaluation of cloud-based log file analysis with Apache Hadoop and Apache Spark. Journal of Systems and Software, 125, 133-151.
Worlikar, S. (2025). Leveraging AWS Analytics for Optimized Natural Disaster Response and Effective Resource Allocation. International Journal of Applied Mathematics, 38(2s), 1138-1150. https://doi.org/10.12732/ijam.v38i2s.712
Zhao, L., & Huang, X. (2021). AI for fraud detection in cloud-based big data systems. Financial Computing and Big Data Analytics, 14(3), 78-92. https://doi.org/10.1016/j.fcbd.2021.08.010
How to Cite
Kenjiro Sato. (2026). Synthesizing Elastic Cloud Architectures and Big Data Analytics for Enhanced Natural Disaster Response and Resource Optimization. Global Multidisciplinary Journal, 5(01), 161-165. https://www.grpublishing.org/journals/index.php/gmj/article/view/354
Most read articles by the same author(s)
- Adesina Chukwu, UNVEILING GENDER PATTERNS: EXPLORING CONSUMER BEHAVIOR IN ONLINE SHOPPING AMONG NIGERIANS , Global Multidisciplinary Journal: Vol. 2 No. 08 (2023): Volume 02 Issue 08
- Evangelos Rigopoulos, DECODING EDUCATIONAL DECISIONS: TRACING THE EVOLUTION OF DECISION-MAKING THEORIES , Global Multidisciplinary Journal: Vol. 3 No. 03 (2024): Volume 03 Issue 03
- Adebayo Chukwu, DIGITAL MEDIA OVERHAUL: THE TRANSITION FROM TRADITIONAL TO EMERGING CYBER PLATFORMS , Global Multidisciplinary Journal: Vol. 3 No. 11 (2024): Volume 03 Issue 11
- Aida Sukmawati, Mohammad Hubeis, UNLOCKING ENGAGEMENT: EXPLORING COMPENSATION, LEADERSHIP STYLE, AND EMPLOYEE ENGAGEMENT DYNAMICS , Global Multidisciplinary Journal: Vol. 2 No. 05 (2023): Volume 02 Issue 05
- Mona Asghar Akbari, Behnam Mowlavi, ASSESSMENT OF RADIATION SCATTER AND ATTENUATION BY DENTAL RESTORATIONS IN HEAD AND NECK RADIOTHERAPY: A DOSIMETRIC STUDY , Global Multidisciplinary Journal: Vol. 3 No. 01 (2024): Volume 03 Issue 01
- Dr.Dhaka Ram Sapkota, Dr. Dol Raj Kafle, THE FIRST DECADE OF DEMOCRACY IN NEPAL: CHALLENGES, EXPERIMENTS, AND LESSONS LEARNED , Global Multidisciplinary Journal: Vol. 3 No. 12 (2024): Volume 03 Issue 12
- Chian Hsu, SIMUCERT: MICROCONTROLLER PROFICIENCY CERTIFICATION THROUGH SIMULATION , Global Multidisciplinary Journal: Vol. 3 No. 03 (2024): Volume 03 Issue 03
- Steve Ismail, FOSTERING CHANGE: EXPLORING MOTIVATING FACTORS IN COMMUNITY ENGAGEMENT AMONG NIGERIAN PROFESSORS , Global Multidisciplinary Journal: Vol. 2 No. 07 (2023): Volume 02 Issue 07
- Michael Anichebe, OPTIMIZING HUMAN RESOURCES MANAGEMENT FOR ENHANCED PERFORMANCE IN NATIONAL INDEPENDENT POWER PROJECTS , Global Multidisciplinary Journal: Vol. 2 No. 09 (2023): Volume 02 Issue 09
- Reza Wijaya, BUILDING SYNERGY: HUMAN CAPITAL DEVELOPMENT STRATEGIES FOR COOPERATIVE PERFORMANCE , Global Multidisciplinary Journal: Vol. 3 No. 05 (2024): Volume 03 Issue 05
Similar Articles
- Jessica Killinpi, The Convergence of Hyperautomation and Autonomous Remediation: Mitigating Site Reliability Engineering Toil in Cloud-Native Ecosystems , Global Multidisciplinary Journal: Vol. 5 No. 04 (2026): Volume 05 Issue 04
- Dr. Salma Nouri, OPTIMIZING HYBRID CLOUD ANALYTICS: AMAZON REDSHIFT AS A STRATEGIC DATA WAREHOUSING PLATFORM , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Dr. Y. Nur, Eco-Centric Resource Management Practices in Farming and Food Industries , Global Multidisciplinary Journal: Vol. 5 No. 02 (2026): Volume 05 Issue 02
- Dr. Oscar Villareal, REIMAGINING CLOUD DATA WAREHOUSING THROUGH SERVERLESS ORCHESTRATION: A REDSHIFT-CENTRIC FRAMEWORK FOR ELASTIC, COST-OPTIMIZED ANALYTICS , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Jeremy S. Blackford, HIPAA as Executable Governance in Cloud Based Clinical Machine Learning Pipelines A Socio Technical and Regulatory Analysis of Automated Auditability and Privacy Preservation , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Dr. Rafael Moreno, Zero-Trust Migration and Adaptive Defense for Multi-Tenant Cloud Ecosystems: A Unified Framework Against Lateral Movement, DDoS, and Identity-Driven Threats , Global Multidisciplinary Journal: Vol. 4 No. 08 (2025): Volume 04 Issue 08
- Priyanka Verma, Service Stability Strategies for Defect Threshold Allocation in Distributed Infrastructures , Global Multidisciplinary Journal: Vol. 5 No. 02 (2026): Volume 05 Issue 02
- Dr. Amelia Torres, Transforming Merger and Acquisition Practice through Artificial Intelligence: A Theoretical and Applied Framework for AI-Enabled Due Diligence and Decision-Making , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Hugo Martin Lefevre, The Convergence of Artificial Intelligence and Multi-Sectoral Risk Management: A Comprehensive Analysis of Algorithmic Governance, Predictive Analytics, And Operational Resilience , Global Multidisciplinary Journal: Vol. 5 No. 02 (2026): Volume 05 Issue 02
- Javier Gómez, Utilizing Distributed Streaming Platforms For Message-Oriented System Design In Financial Technology Solutions , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
You may also start an advanced similarity search for this article.