A Distributed NFV-Enabled Edge Cloud Architecture for ICN-Based Disaster Management Services.

Area of Science:

• Computer Science
• Network Engineering
• Disaster Management

Background:

• Traditional IP and telephony systems struggle with group communication in disaster response.
• Centralized networking architectures for disaster management face scalability and communication inefficiencies.
• Information-Centric Networking (ICN) offers advantages for disaster communication but often relies on centralized models.

Purpose of the Study:

• To design and implement a novel distributed edge cloud architecture for disaster management services.
• To address the limitations of centralized networking in disaster response, including scalability and communication delays.
• To leverage Information-Centric Networking (ICN) and Network Function Virtualization (NFV) for improved disaster management.

Main Methods:

• Developed a distributed edge cloud architecture integrating ICN and NFV.
• Deployed disaster management functions with predefined templates at regional edge clouds.
• Conducted real-world implementation and performance evaluations.

Main Results:

• The proposed architecture significantly improved average bandwidth utilization.
• Reduced disaster notification delivery latency and routing convergence time.
• Achieved a higher successful request ratio compared to existing centralized approaches.

Conclusions:

• The distributed edge cloud architecture effectively mitigates communication overhead and enhances service availability in disaster management.
• This ICN and NFV-based approach offers a more scalable and resilient solution for disaster response communication.
• The findings demonstrate substantial performance improvements over traditional centralized disaster management systems.