Smart-Bricks Micro-Block Architecture for Enterprise Information Adaptability
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Solution Overview
Problem
Existing information systems lack adaptability and flexibility, requiring significant time, effort, and resources to change in response to evolving business environments, and are limited in handling unstructured and integrated data requests due to rigid architectures and fixed data schemes.
Innovation Solution
The Smart-Bricks Information System employs a micro-block architecture with Smart-Bricks that self-assemble into instantaneous info-conglomerates under an Ontology-Centric model, allowing for real-time adaptation and flexible information processing, enabling users to perform any necessary actions with integrated data from various sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional monolithic applications with fixed data schemes are used, then system structure is simple and stable, but adaptability to changing business environments and flexibility in handling unstructured requests deteriorate
Solution Approach 1:
The system segments information processing into independent Smart-Bricks (micro-systems) that can be individually selected, assembled, and configured. Each Smart-Brick represents a discrete functional unit that processes specific types of information requests, allowing the system to adapt to changing business environments by reconfiguring combinations of these modular components without redesigning the entire system architecture.
Solution Approach 2:
The Ontology-Centric Architecture provides a universal framework that enables Smart-Bricks to handle diverse and unstructured information requests across different business domains. The ontology model serves as a common language and structure that allows the same modular components to be universally applied to various business scenarios, enhancing versatility without proportionally increasing complexity.
2Adaptability or versatility
If software is redesigned frequently to adapt to business changes, then adaptability improves, but time, effort, and resources required for system maintenance increase
Solution Approach 1:
The system performs preliminary action by pre-defining a library of Smart-Bricks that encapsulate common information processing functions. When business requirements change, the system can rapidly adapt by selecting and assembling pre-configured Smart-Bricks from the library rather than designing new processing logic from scratch, significantly reducing the time and resources required for adaptation.
Solution Approach 2:
The system uses copying by allowing Smart-Bricks to be replicated and reused across different contexts. Once a Smart-Brick is designed to handle a specific type of information request, it can be copied and deployed multiple times with minimal modification, reducing the effort required to adapt the system to new business scenarios while maintaining consistency in processing logic.
3Ease of operation
If rigid functional-oriented architecture is used, then system stability is maintained, but ability to handle integrated data requests from various subject areas deteriorates
Solution Approach 1:
The Ontology-Centric Architecture acts as an intermediary layer between users and the underlying data sources. The ontology model provides a unified conceptual framework that translates diverse data from various subject areas into a common structure, allowing users to perform complex integrated information requests without directly managing the complexity of data integration across multiple systems and formats.
Data Source
AI summary
A method, system and computer product for a Smart-Bricks Information System (IS), which solves the problems of lack of adaptability and lack of flexibility of information systems. In order to provide adaptability and flexibility of the IS, the enterprise's information space is divided into a plurality of universal micro-blocks—Smart-Bricks micro-systems. The Smart-Bricks IS implements the following: contains all necessary and sufficient system parts for the functioning of each micro-system (data, code, interface); self-assembles into “instantaneous info-conglomerates”-Smart-Bricks Instant Performances (SBIP); and runs under control of the Ontological Model of an enterprise subject area, which is adaptable to the changing conditions of a given subject area.