Dynamic Topology Resource Allocation in Cloud IDE
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Solution Overview
Problem
Conventional cloud computing resource allocation systems lack flexibility and are time-consuming, requiring significant human resources and taking months to implement complex allocation schemes.
Innovation Solution
A system that allows users to select a profile related to a project, generating a dynamic graphical user interface to configure a topology based on the selected profile, automatically generating the topology and reserving resources, and deploying applications using a Directed Acyclic Graph (DAG) orchestration plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional hardcoding methods are used for resource allocation, then the system provides a simple mechanism for reserving allocated resources, but it does not allow any flexibility in the system
Solution Approach 1:
The patent implements dynamic resource allocation by replacing static hardcoded architectures with flexible orchestration plans that can be modified at runtime. The system allows users to create and update allocation schemes dynamically through graphical interfaces and configuration files, enabling the system to adapt to changing requirements without reconfiguration or downtime.
Solution Approach 2:
The patent enables flexible resource allocation by allowing parameters such as resource types, quantities, and allocation rules to be changed dynamically. Users can modify allocation schemes by updating configuration parameters in orchestration plans without changing the underlying system architecture, thus achieving adaptability while maintaining system stability.
2Adaptability or versatility
If complex allocation schemes are implemented using conventional systems, then more flexible resource allocation is achieved, but it takes an extraordinary amount of time (e.g., two months) and a large amount of trace tickets (e.g., 100 trace tickets)
Solution Approach 1:
The patent implements preliminary action by providing pre-configured allocation schemes and templates that can be selected and customized quickly. Instead of building allocation schemes from scratch, users can start with predefined patterns and modify them as needed, reducing implementation time from months to minutes while maintaining flexibility.
Solution Approach 2:
The patent enables rapid deployment of complex allocation schemes by allowing users to copy and reuse existing orchestration plans and configuration templates. Once an allocation scheme is created or imported, it can be replicated and adapted for different scenarios without recreating the entire configuration, significantly reducing the time and effort required.
3Reliability
If conventional resource allocation systems are used, then the system maintains stability, but it requires significant investment in human resources and trace tickets
Solution Approach 1:
The patent implements self-service automation by enabling users to independently create, modify, and deploy resource allocation schemes through graphical interfaces and configuration files. The system automatically validates configurations, generates deployment plans, and executes allocations without requiring manual intervention from system administrators or extensive use of trace tickets, thus reducing human resource investment while maintaining reliability through automated validation.
Data Source
AI summary
Systems and methods to reserve resources is provided. In exemplary embodiments, a selection of a profile from a user is received. A dynamic graphical user interface is generated, using one or more processors. The dynamic graphical user interface allows the user to configure a topology based on the selected profile. The dynamic graphical user interface provides input fields in which the user may select a resource. An indication of the selected applicable topology property for configuring the topology is received. A topology is automatically generating based in part on the selected applicable topology property.