Multi-Cloud Resource Orchestration for Autonomous Lifecycle Management
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Solution Overview
Problem
Existing technologies struggle to efficiently manage and operate multiple cloud services due to increased complexity and cost, with a reliance on single clouds leading to service interruptions and limited resources, and there is a lack of integrated solutions for seamless and cost-effective use of diverse cloud services.
Innovation Solution
An apparatus and method for managing multi-cloud computing infrastructure using processors and memory to autonomously operate and manage multiple cloud resources, including generating computing instances, managing lifecycles, and optimizing resource utilization based on user requirements and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple clouds are used to solve service interruption risks and limit computing resources, then reliability and resource diversity are improved, but device complexity and management difficulty increase
Solution Approach 1:
The patent segments the multi-cloud infrastructure into distinct cloud environments (first cloud, second cloud, third cloud) with separate resource pools. Each cloud is managed independently through dedicated controllers that handle provisioning, monitoring, and resource allocation for specific cloud segments, reducing the complexity of managing heterogeneous multi-cloud systems as a unified whole.
Solution Approach 2:
The patent introduces a centralized management system that acts as an intermediary between users and multiple cloud service providers. This management system receives service requests, determines optimal cloud destinations based on policies and resource availability, and coordinates resource allocation across different clouds, thereby simplifying the user experience while managing the complexity of multi-cloud integration.
2Adaptability or versatility
If multiple clouds are integrated to provide diverse services, then service versatility is improved, but management cost and operational complexity increase
Solution Approach 1:
The patent implements a universal resource management framework that handles diverse cloud services through unified mechanisms. The management system provides common functions for resource provisioning, monitoring, and optimization across different cloud types, allowing administrators to manage heterogeneous resources using standardized tools and procedures, thereby improving ease of operation despite service diversity.
Solution Approach 2:
The patent dynamically adjusts resource allocation parameters based on service requirements, cloud availability, and operational policies. The system modifies provisioning parameters, resource quotas, and service configurations in real-time to optimize performance and cost-effectiveness across different cloud environments, making the management process more adaptive and easier to operate.
3Productivity
If autonomous operation is implemented to reduce management costs, then operational efficiency is improved, but system complexity and control mechanisms increase
Solution Approach 1:
The patent implements autonomous operation capabilities where the cloud management system automatically performs resource provisioning, allocation, and optimization without requiring manual intervention. The system autonomously monitors resource utilization, adjusts configurations, and manages service levels based on predefined policies and real-time conditions, thereby improving management efficiency while containing complexity through automated decision-making frameworks.
Solution Approach 2:
The patent incorporates feedback mechanisms that continuously monitor cloud resource utilization, service performance, and operational conditions. This feedback information is used to dynamically adjust autonomous operations, refine resource allocation decisions, and optimize management policies. The feedback loop enables the system to learn from operational outcomes and improve autonomous decision-making, balancing efficiency gains with manageable complexity.
Data Source
AI summary
Disclosed herein are an apparatus and method for managing a multi-cloud computing infrastructure. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program receives a request for autonomous operation of a multi-cloud computing infrastructure from a user, generates an information object having a name of a namespace corresponding to the multi-cloud computing infrastructure and previously generated universal unique identifier (UID) information, manages multiple resources included in the multi-cloud computing infrastructure, provisions the multi-cloud computing infrastructure by generating computing instances constituting the components of the multi-cloud computing infrastructure, manages the lifecycles of the computing instances, and performs the autonomous operation of the multi-cloud computing infrastructure depending on operation conditions for the multi-cloud computing infrastructure.