Self-Management Module for Virtual Machine Lifecycle Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In cloud computing environments, virtual machines often continue to run beyond their intended lifespan, leading to resource wastage and excess costs due to the lack of effective management solutions.
Innovation Solution
A self-management module is integrated into virtual machines, enabling them to perform activation, suspension, termination, tracking, and monitoring, as well as messaging their status and usage to the cloud management system, thereby reducing the likelihood of machines being lost and optimizing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If virtual machines are deployed in cloud-based networks for rapid and scalable operations, then productivity and service delivery are improved, but the risk of machines being lost and resources being wasted increases
Solution Approach 1:
A self-management module is integrated into each virtual machine to enable automatic management of its own lifecycle. The module monitors the virtual machine's operational status and automatically performs termination when the virtual machine exceeds its intended lifespan or becomes lost, eliminating the need for external intervention and preventing resource wastage.
Solution Approach 2:
The self-management module continuously monitors the virtual machine's operational status and provides feedback to the cloud management system. This feedback mechanism enables the system to track virtual machine lifecycles and trigger appropriate actions (such as termination) when predefined conditions are met, ensuring resources are not wasted on lost or obsolete virtual machines.
2Device complexity
If manual management methods are used for virtual machines, then device complexity is reduced, but management effectiveness and reliability deteriorate
Solution Approach 1:
The management functionality is segmented by integrating a self-management module directly into each virtual machine. This allows each virtual machine to independently manage its own lifecycle events (activation, suspension, termination), reducing the burden on the central cloud management system while improving overall management reliability through distributed intelligence.
Data Source
AI summary
A cloud management system can insert a self-management module in virtual machines. The self-management module can be configured to automatically perform management functions on the virtual machine in which it is inserted. The management functions can include activation, suspension, or termination of the virtual machine. The management functions can also include tracking and monitoring the virtual machine. The management functions can also include providing messages to the cloud management system regarding the status and usage of the virtual machine.


