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The Language Project

The Pattern Language

Adaptable System Design

Supports: DDP. DECENTRALIZED DATA PROVISION, DVR. DATA VERIFICATION AND REDUNDANCY

Build systems capable of transitioning between centralized and decentralized data sources. Enable seamless adaptation as viable alternatives emerge.

Context:

Smart contract systems often require external data and may initially rely on centralized data sources due to limitations in the availability or maturity of decentralized alternatives.

Problem:

A rigid system design that does not account for the potential emergence of decentralized data sources can hinder the transition to a more decentralized architecture, compromising the long-term robustness and resilience of the smart contract system.

Forces:

• Decentralization: Encouraging a shift towards decentralized data sources as they become more viable and mature.
• System adaptability: Designing a smart contract system that can easily transition between centralized and decentralized data sources.
• Future-proofing: Ensuring the system remains relevant and robust as the external data landscape evolves.
• Implementation complexity: Developing an adaptable system without introducing excessive complexity or overhead.

Solution:

Design smart contract systems capable of seamlessly transitioning between centralized and decentralized data sources. By building systems with adaptability in mind, developers can future-proof their projects and better align with the evolving data landscape. As decentralized alternatives become more mature and viable, these adaptable systems can easily integrate with them, reducing reliance on centralized data sources and promoting a more resilient and decentralized architecture.

In order to build adaptable smart contract systems, developers should consider the following strategies:

• Modular design: Create modular components within the system that can be easily updated or replaced as new data sources or technologies become available. This approach allows for the smooth integration of decentralized data sources without the need for extensive system rewrites.

• Open standards: Utilize open standards and protocols when interacting with external data sources, as this will facilitate seamless interoperability between the smart contract system and a wide range of centralized or decentralized data providers.

• Community engagement: Engage with the broader developer and user community to stay informed about emerging technologies and trends in decentralized data provision. This will enable the system’s developers to proactively identify and adopt new solutions as they become available.

• Continuous improvement: Regularly evaluate and iterate on the system design to ensure that it remains adaptable and capable of supporting the integration of new data sources and technologies. This may include conducting regular audits, addressing technical debt, and refining the system architecture.

By incorporating these strategies into the system design process, developers can create smart contract systems that are more resilient and better prepared to adapt to the ever-changing data landscape. This will ultimately result in a more robust and decentralized architecture, better aligned with the principles of blockchain technology and capable of supporting the long-term success of the project.