Instruction Queue for Distributed Cloud VM Management
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Solution Overview
Problem
Cloud computing platforms require complex manual management and significant expertise, making it difficult for users to efficiently provision, deploy, and manage virtual machines and resources, especially in distributed computing environments.
Innovation Solution
The implementation of a system that automates management tasks such as provisioning virtual machines, linking tasks to desired systems, and reclaiming resources, using a blueprint manager and deployment director to facilitate the creation and management of multi-machine blueprints, and utilizing management agents to execute instructions across multiple servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual management methods are used for cloud computing platforms, then users can directly control virtual machines and resources, but the complexity of management increases and requires significant expertise
Solution Approach 1:
The patent introduces an intermediary management system that acts as a mediator between users and the complex cloud computing infrastructure. This intermediary automatically handles provisioning, deployment, and resource management tasks, shielding users from the underlying complexity while maintaining ease of operation.
Solution Approach 2:
The management system implements self-service capabilities where the system automatically performs management tasks such as provisioning virtual machines, deploying applications, and reclaiming resources without requiring manual user intervention or deep technical expertise.
2Productivity
If automated management systems are implemented, then operational efficiency improves and time for tasks like upgrades is reduced, but the system requires more complex automation mechanisms
Solution Approach 1:
The system performs preliminary actions by pre-configuring management policies, automation rules, and resource allocation strategies in advance. This allows the system to automatically execute standardized procedures for provisioning, upgrading, and reclaiming resources, improving productivity while managing complexity through pre-planned automation.
Solution Approach 2:
The automation system manages complexity by changing parameters such as resource allocation thresholds, provisioning speeds, and deployment configurations. These parameter changes enable flexible control over automated processes, allowing the system to optimize operational efficiency while adapting to different operational requirements.
3Loss of time
If resources are manually provisioned and deployed, then users have direct control over the process, but the time required for provisioning and deployment increases
Solution Approach 1:
The system implements self-service automation that automatically provisions and deploys virtual machines and resources based on predefined policies and user requests. This eliminates manual intervention steps, significantly reducing provisioning and deployment time while maintaining user control through policy-based management.
Solution Approach 2:
The system performs preliminary provisioning actions by pre-configuring resource templates, deployment scripts, and allocation rules. When a provisioning request is made, the system executes these pre-prepared configurations automatically, reducing the time required for resource deployment while maintaining user control through template selection.
Data Source
AI summary
Methods and apparatus for distribution and execution of instructions in a distributed computing environment are disclosed. An example apparatus includes memory; first instructions; and processor circuitry to execute the first instructions to manage an instruction queue. The instruction queue includes indications of second instructions to be executed at a component server. The processor circuitry is to add a first indication of a corresponding one of the second instructions to the instruction queue. The first indication is to identify: (1) a location of the second instruction and (2) a format of the second instruction. In response to a second indication that the second instruction has been executed, the processor circuitry is to remove the first indication from the instruction queue.