Blockchain-based cloud manufacturing platforms: A novel idea for service composition in XaaS paradigm

Area of Science:

• Manufacturing Systems Engineering
• Distributed Systems
• Blockchain Technology

Background:

• Cloud manufacturing utilizes service-oriented architecture for globalized manufacturing, improving system performance.
• Current cloud-based service composition relies on centralized optimization, lacking real-time synchronization and distributed collaboration.
• Dynamic service allocation in cloud manufacturing necessitates a decentralized approach for efficient supply-demand matching.

Purpose of the Study:

• To propose a novel blockchain-based platform for distributed cloud manufacturing service composition.
• To address the limitations of centralized models by enabling real-time synchronization and globalized collaboration.
• To enhance the efficiency and optimality of service allocation in dynamic cloud manufacturing environments.

Main Methods:

• A blockchain framework is proposed where service compositions are treated as transactions within blocks.
• A consensus mechanism validates the integrity of service composition transactions.
• The mining process in the blockchain is adapted to represent the proposal of optimal service compositions.

Main Results:

• The proposed blockchain-based model significantly reduces costs, with savings ranging from 15.14% to 34.8%.
• Solving time is dramatically decreased by 20% to 68.4%, especially with an increased number of distributed solvers.
• The distributed nature of the blockchain solution demonstrates a sharp increase in solution speed, exceeding 68% improvement in some large-scale problems.

Conclusions:

• The blockchain-based platform offers a viable solution for distributed cloud manufacturing service composition.
• The approach enhances response times and improves the optimality of supply-demand matching.
• The findings highlight the effectiveness of distributed computing in accelerating problem-solving within cloud manufacturing.