Dual-Layer Index for Efficient Traceability Query of Food Supply Chain Based on Blockchain

Area of Science:

• Computer Science
• Information Systems
• Supply Chain Management

Background:

• Blockchain technology offers decentralized and transparent traceability crucial for food supply chains.
• Current blockchain solutions face challenges with high query costs and efficiency.
• Optimizing blockchain-based traceability queries is an active area of research.

Purpose of the Study:

• To propose and evaluate a novel dual-layer index structure for optimizing traceability queries in blockchain systems.
• To enhance the efficiency of food supply chain traceability queries without compromising blockchain's core characteristics.

Main Methods:

• Development of a dual-layer index structure comprising an external and an internal index.
• Modeling of a blockchain storage module within an experimental environment.
• Conducting extensive simulation experiments to assess query performance.

Main Results:

• The dual-layer index structure significantly improves traceability query efficiency.
• Query rates were enhanced by seven to eight times compared to the original blockchain.
• A slight increase in storage and construction time was observed.

Conclusions:

• The proposed dual-layer index structure is an effective method for optimizing blockchain-based traceability queries.
• This optimization is particularly beneficial for enhancing efficiency in food supply chain applications.
• The trade-off of minimal extra storage and construction time is justified by substantial performance gains.