An Efficient Availability Guaranteed Deployment Scheme for IoT Service Chains over Fog-Core Cloud Networks.

Area of Science:

• Computer Science
• Networking
• Cloud Computing

Background:

• High availability is crucial for Internet of Things (IoT) end-to-end services.
• Network Function Virtualization (NFV) and Service Function Chaining (SFC) face availability challenges due to hardware/software failures, especially in fog-cloud environments with limited fog resources.
• Standard VNF (Virtual Network Function) mapping is insufficient for ensuring high availability in SFCs.

Purpose of the Study:

• To propose a cost-efficient deployment scheme that guarantees availability for IoT services over fog-core cloud networks.
• To identify and leverage the potential of VNFs in improving SFC availability.
• To present effective redundancy placement techniques for VNFs in the fog layer.

Main Methods:

• Developed a deployment scheme measuring VNF improvement potential for SFC availability.
• Investigated various redundancy placement strategies for VNFs within the fog layer.
• Conducted analysis and simulations to evaluate the proposed scheme.

Main Results:

• The proposed scheme significantly improves cost-efficiency compared to existing approaches.
• Demonstrated substantial scalability enhancements for IoT services.
• Achieved guaranteed availability for SFCs deployed over fog-core cloud networks.

Conclusions:

• The proposed cost-efficient scheme effectively addresses the high availability requirements for IoT services in NFV-enabled SFCs over fog-cloud architectures.
• Optimized VNF redundancy placement in fog environments leads to better resource utilization and cost savings.
• The approach offers a scalable and efficient solution for ensuring service continuity in distributed IoT systems.