Stateful Component Authoring via Co-located Logic and State
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current program models are inadequate for developing scalable distributed applications, as they are tier and technology specific, limiting the ability to scale and are difficult to work with stateful components, which are often avoided due to scalability issues, leading to poorly scalable applications.
Innovation Solution
An extensible framework that supports the authoring and execution of highly scalable and available stateful components by co-locating state with logic, using a distributed component model and runtime for general-purpose support of partitioning and replication techniques, allowing for natural expression of application logic and reduced latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If stateful components are used to express application logic naturally, then the logic expression becomes more natural and succinct, but scalability is compromised
Solution Approach 1:
The patent segments stateful components into partitioned units that can be independently distributed across multiple nodes. Each partition maintains its own state locally, allowing the system to scale horizontally while preserving the natural expression of stateful logic within each partition. This segmentation enables both natural logic expression at the component level and scalability at the system level.
Solution Approach 2:
The patent introduces a new dimension of distribution by co-locating state with logic in a distributed architecture. Instead of separating state and logic or using centralized state management, the system distributes stateful components across multiple dimensions (nodes, partitions, tiers), enabling scalability without sacrificing the natural expression of stateful application logic.
2Adaptability or versatility
If state is externalized to achieve scalability, then scalability improves, but data access latency increases
Solution Approach 1:
The patent merges state and logic into a single co-located unit within each distributed component. This combination eliminates the need for external state management systems, allowing components to access their own state locally without network latency. The merging enables both fast data access and scalability through distributed deployment of these self-contained units.
Solution Approach 2:
The patent implements local state storage within each distributed component instance, giving each component local access to its state data. This local quality eliminates remote data access latency while maintaining scalability through distribution. Each component operates with its own local state, and the system scales by adding more independent component instances across the distributed environment.
3Ease of manufacture
If current program models are used, then development is simpler, but the ability to scale distributed applications is limited
Solution Approach 1:
The patent creates a universal distributed component model that works across multiple tiers and technologies. This model provides a consistent programming interface and execution environment that functions uniformly whether deployed on-premises, in the cloud, or in hybrid environments. The universality simplifies development by providing a single model for all scenarios while enabling scalability through the distributed architecture.
Solution Approach 2:
The patent introduces dynamic composition and runtime flexibility to the component model. Components can be dynamically instantiated, partitioned, and distributed across the environment based on scalability requirements. The runtime system dynamically manages the deployment and execution of stateful components, allowing the application to adapt and scale without requiring complex static configuration or rewrites of existing code.
Data Source
AI summary
A method for of authoring and executing stateful components for a distributed application is disclosed. An application schema for the distributed application is declaratively defined and includes a plurality of distributed modules. Each module hosts a set of stateful components co-located in a physical tier of a distributed environment having logic to manipulate state. The runtime supports partitioning the stateful components. Control flow opaqueness of component logic is banished in each of the stateful components, which would otherwise occur if state was externalized.