Orchestration Tool Selection Database for Cloud Task Management
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Solution Overview
Problem
It is challenging for users to identify the most suitable orchestration tool for specific tasks in a cloud computing environment due to the diverse strengths and weaknesses of available tools, which can lead to increased time, difficulty, and financial costs in configuring and managing cloud resources.
Innovation Solution
A database is used to relate different orchestration tools to their characteristics, allowing a computing device to automatically select the best tool for a particular task based on predefined criteria such as compatibility with cloud-service providers, software frameworks, and task-specific performance metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple orchestration tools are used to perform different tasks, then task performance and reliability are improved, but device complexity and difficulty of operation increase
Solution Approach 1:
The patent introduces an intermediary system consisting of a database and selection logic that mediates between the user and multiple orchestration tools. The database stores characteristics of multiple orchestration tools, and the system automatically selects the appropriate tool based on task requirements, eliminating the need for users to directly manage the complexity of multiple tools while still benefiting from their specialized capabilities.
Solution Approach 2:
The patent creates a universal orchestration management system that can handle multiple different orchestration tools through a single interface. This multi-functional system accepts various task types and automatically routes them to the appropriate specialized tool, allowing one system to perform the function of multiple individual tool management approaches.
2Reliability
If users manually identify and configure the most suitable orchestration tool for specific tasks, then task performance is optimized, but time consumption and operational difficulty increase
Solution Approach 1:
The patent applies preliminary action by pre-storing characteristics and capabilities of multiple orchestration tools in a database before actual task execution. This advance preparation allows the system to quickly retrieve and match the most suitable tool for any given task without requiring users to perform time-consuming manual research and configuration at the time of task execution.
Solution Approach 2:
The system enables self-service by automatically selecting and configuring the appropriate orchestration tool based on task requirements and stored characteristics. This eliminates the need for users to manually identify and configure tools, as the system performs this function autonomously by querying the database and making the selection based on predefined criteria.
3Adaptability or versatility
If multiple orchestration tools are used with different characteristics, then adaptability to various cloud-service providers and frameworks is improved, but ease of operation deteriorates
Solution Approach 1:
The database and selection system act as an intermediary layer between the user and multiple orchestration tools with different characteristics. This intermediary manages the complexity of tool compatibility by storing and comparing tool characteristics against task requirements, automatically selecting the most compatible tool without requiring users to understand or manually configure compatibility settings.
Solution Approach 2:
The system achieves universality by creating a single management interface that handles multiple orchestration tools with different characteristics and compatibilities. This universal system can adapt to various cloud-service providers and frameworks through one unified interface, eliminating the need for users to learn and operate multiple different tool interfaces directly.
Data Source
AI summary
Tasks in a cloud computing environment can be managed using multiple orchestration tools. For example, a request to perform a particular task in a cloud computing environment can be received. A database that includes relationships between multiple orchestration tools and characteristics of the multiple orchestration tools can be accessed. A first orchestration tool can be selected from the database based on a first characteristic related to the first orchestration tool in the database. The first orchestration tool can be capable of performing a first part of the particular task. A second orchestration tool can be selected from the database based on a second characteristic related to the second orchestration tool in the database. The second orchestration tool can be capable of performing a second part of the particular task. The particular task can be performed in the cloud computing environment using the first orchestration tool and the second orchestration tool.