Blockchain-based heterogeneous resource configuration scheme in computing power network.

Area of Science:

• Computer Science
• Network Engineering
• Cybersecurity

Background:

• Computational power networks offer on-demand resources but face challenges in secure and efficient resource allocation.
• Balancing system energy consumption and latency while ensuring security is a significant hurdle in current systems.

Purpose of the Study:

• To propose a secure edge offloading optimization framework for computational power networks.
• To address the challenges of resource allocation security, energy consumption, and latency.

Main Methods:

• Incorporation of blockchain technology for secure recording of network information.
• Formulation of a joint optimization problem for bandwidth, computation, and blockchain resources.
• Decomposition of the problem into two subproblems solved via the Lagrange multiplier iterative algorithm.

Main Results:

• The proposed framework effectively balances system energy consumption and latency.
• Demonstrated superior performance compared to Particle Swarm Optimization (PSO) and Proximal Policy Optimization (PPO) methods.
• Blockchain integration ensures the security of the resource allocation process.

Conclusions:

• The developed secure edge offloading optimization framework provides an effective solution for computational power networks.
• Blockchain technology enhances the security of resource allocation.
• The optimization strategy successfully balances energy efficiency and low latency.