A blackboard system is an artificial intelligence approach based on the blackboard architectural model, where a common knowledge base, the "blackboard", is iteratively updated by a diverse group of specialist knowledge sources, starting with a problem specification and ending with a solution.
Advantages of Blackboard Architecture Style Blackboard architecture style provides concurrency which allows knowledge sources to work in parallel. This architecture supports experimentation for hypotheses and reusability of knowledge source components.
Data center architecture is the physical and logical layout of the resources and equipment within a data center facility. It serves as a blueprint for designing and deploying a data center facility. It is a layered process which provides architectural guidelines in data center development.
DisadvantagesIt is more vulnerable to failure and data replication or duplication is possible.High dependency between data structure of data store and its agents.Changes in data structure highly affect the clients.Evolution of data is difficult and expensive.Cost of moving data on network for distributed data.
Data architecture is a framework for how IT infrastructure supports your data strategy. The goal of any data architecture is to show the company's infrastructure how data is acquired, transported, stored, queried, and secured. A data architecture is the foundation of any data strategy.Mar 4, 2021
A blackboard system consists of three components: 1) Knowledge sources (KSs); 2) Blackboard; 3) Control component. Knowledge sources are independent modules that contain the knowledge needed for problem solving.
In software engineering, the blackboard pattern is a behavioral design pattern that provides a computational framework for the design and implementation of systems that integrate large and diverse specialized modules, and implement complex, non-deterministic control strategies.
The Pipe and Filter is an architectural pattern for stream processing. It consists of one or more components called filters. These filters will transform or filter data and then pass it on via connectors called pipes.
The Data-centric Model (DCM®) is a conceptual hierarchy or framework that describes, defines and shows the integration of the varying levels of operational complexity within an organisation or business system.
A repository architecture consists of a central data structure (often a database) and a collection of independent components which operate on the central data structure Examples of repository architectures include blackboard architectures, where a blackboard serves as communication centre for a collection of knowledge ...
What is the Pipe and Filter style? The Pipe and Filter is an architectural design pattern that allows for stream/asynchronous processing. In this pattern, there are many components, which are referred to as filters, and connectors between the filters that are called pipes.
The Architecture Repository is a software tool that stores the important architectural input and output, including Architectures themselves, the elements of which they are composed, standards, references, principles and the Governance Register.