# Architecture principles whose type is model

> 18 records

This index as JSON: https://banes-lab.com/json/api/facets/architecture/type/model

## Entries

- [Causal Consistency](https://banes-lab.com/records/architecture/causal-consistency.md): A conceptual representation of a consistency guarantee in which no reader sees an effect before its cause.
- [Happens-Before Relationship](https://banes-lab.com/records/architecture/happens-before-relationship.md): A conceptual representation of the partial order in which one operation is known to precede another.
- [Causal Dependency](https://banes-lab.com/records/architecture/causal-dependency.md): A conceptual representation of one step or event that cannot proceed until another has happened.
- [CAP Theorem](https://banes-lab.com/records/architecture/cap-theorem.md): A conceptual representation of the choice a distributed store makes during a network partition, between consistency and availability.
- [PACELC Theorem](https://banes-lab.com/records/architecture/pacelc-theorem.md): A conceptual representation that extends the CAP theorem with the trade-off a healthy network still forces, between latency and consistency.
- [Eventual Consistency](https://banes-lab.com/records/architecture/eventual-consistency.md): A conceptual representation of a consistency guarantee in which replicas and projections converge once updates stop arriving.
- [Quality Attributes](https://banes-lab.com/records/architecture/quality-attributes.md): A conceptual representation of the non-functional properties a system must meet, each stated as a measurable scenario.
- [Greenfield Development](https://banes-lab.com/records/architecture/greenfield-development.md): An abstraction of building a new system with no inherited code, so its boundaries are designed from the current forces.
- [Artificial Intelligence Architecture](https://banes-lab.com/records/architecture/artificial-intelligence-architecture.md): A conceptual representation of a system that calls a model behind validated inputs, grounded context, schema-checked outputs and governance.
- [Machine Learning Architecture](https://banes-lab.com/records/architecture/machine-learning-architecture.md): A conceptual representation of a model's lifecycle as versioned data, feature, training, evaluation and serving stages.
- [Finite State Machine](https://banes-lab.com/records/architecture/finite-state-machine.md): A conceptual representation of behavior as a closed set of states and the events that move between them.
- [Statecharts](https://banes-lab.com/records/architecture/statecharts.md): A conceptual representation of a state machine extended with nested states and parallel regions.
- [Concurrency](https://banes-lab.com/records/architecture/concurrency.md): A conceptual representation of several tasks in progress over overlapping time, with their access to shared state coordinated.
- [Queuing Theory](https://banes-lab.com/records/architecture/queuing-theory.md): A conceptual representation of a system as queues with arrival and service rates, used to predict waiting time and size capacity.
- [RBAC](https://banes-lab.com/records/architecture/role-based-access-control.md): A conceptual representation of access control, Role-Based Access Control (RBAC), in which permissions attach to roles and users receive roles.
- [ABAC](https://banes-lab.com/records/architecture/attribute-based-access-control.md): A conceptual representation of access control, Attribute-Based Access Control (ABAC), in which a policy decides from attributes of the subject, the resource and the environment.
- [ACID](https://banes-lab.com/records/architecture/acid.md): A conceptual representation of the four guarantees of a database transaction: atomicity, consistency, isolation and durability.
- [Petri Nets](https://banes-lab.com/records/architecture/petri-nets.md): A conceptual representation of concurrent flow as places holding tokens and transitions that consume and produce them, which can be analyzed for deadlock.