Query Plan Module Objects for Cloud Application Development
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Solution Overview
Problem
The development of software applications is a costly and resource-intensive endeavor due to the complexity of designing and implementing solutions that take advantage of modern architectures like multi-core CPU architectures, often requiring significant teams and time.
Innovation Solution
The system executes applications by generating and executing query plans that link module objects, including request, response, and other types, allowing for efficient processing of requests and responses through a horizontal container and vertical middleware, enabling dynamic provisioning and reusable software components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional software development approaches are used, then applications can be implemented, but development time and resources are excessively high
Solution Approach 1:
The system segments applications into reusable query plans and module objects. Each query plan is composed of modular components that can be independently developed, tested, and reused across different applications, significantly reducing development time and resources.
Solution Approach 2:
The framework provides universal query plans and module objects that can be applied across multiple applications and services. A single query plan can serve different purposes by configuring different module objects, eliminating the need to rewrite solutions for each new application.
2Adaptability or versatility
If custom query plans are created for each application, then specific requirements are met, but system complexity increases
Solution Approach 1:
The system breaks down complex query plans into standardized module objects with defined interfaces. This segmentation allows for easy customization by composing different modules while maintaining a consistent, manageable architecture that reduces overall system complexity.
Solution Approach 2:
The framework enables application customization through parameter configuration rather than structural changes. By modifying parameters of existing module objects and query plans, the system adapts to different requirements without increasing architectural complexity.
3Productivity
If reusable module objects are used, then development efficiency improves, but implementation complexity increases
Solution Approach 1:
The framework introduces a query plan executor as an intermediary that automatically manages the instantiation and coordination of module objects. This mediator handles the complexity of object creation and interaction, allowing developers to focus on business logic while the framework manages implementation details.
Data Source
AI summary
Methods and apparatus for executing an application are disclosed. In accordance with one embodiment, a request is received. One or more of a plurality of module types are instantiated such that a plurality of module objects are generated. A query plan linking the plurality of module objects is executed such that a response to the request is generated. The response is then returned.