Virtual Resource Migration via Operational Relationship Analysis
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Solution Overview
Problem
Existing methods for managing virtual resources within a data center are inefficient due to labor-intensive manual interventions caused by incompatible systems, which can adversely affect the operation of other resources.
Innovation Solution
An apparatus comprising a monitoring module that sends indicators for performance threshold conditions and a management module that moves virtual resources from one data center portion to another based on performance metrics, operational relationships, and availability of resources, ensuring efficient resource allocation and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used to move virtual resources, then resource movement can be performed, but labor intensity increases and efficiency decreases
Solution Approach 1:
The system enables virtual resources to be moved automatically based on performance metrics and operational relationships. The management module monitors resource performance and autonomously determines when and where to relocate virtual resources without requiring manual intervention, thereby improving productivity while reducing labor intensity.
Solution Approach 2:
The system continuously monitors performance metrics of virtual resources and uses this feedback to trigger automated movement decisions. When performance thresholds are met or operational relationships change, the system automatically initiates resource relocation, creating a closed-loop control system that eliminates manual intervention while maintaining optimal resource allocation.
2Adaptability or versatility
If virtual resources are moved without considering operational relationships, then resource allocation flexibility increases, but operation stability deteriorates
Solution Approach 1:
The system pre-establishes operational relationships between virtual resources before movement operations. By defining these relationships in advance and incorporating them into movement decision logic, the system ensures that resources are relocated in a way that maintains operational stability while still achieving allocation flexibility when needed.
Solution Approach 2:
The system dynamically adjusts resource allocation based on real-time performance metrics and operational relationships. Rather than rigidly maintaining fixed allocations or allowing arbitrary movements, the system adaptively determines optimal resource positions by considering both flexibility requirements and stability constraints, enabling dynamic optimization of the virtual resource environment.
3Device complexity
If incompatible systems control data center resources, then system independence is maintained, but management complexity increases
Solution Approach 1:
The management module is designed to work across multiple incompatible systems and resource types within the data center. It provides a universal interface and control mechanism that can manage diverse virtual resources regardless of their underlying system compatibility, thereby reducing management complexity while maintaining the ability to handle various resource types.
Solution Approach 2:
The management module acts as an intermediary layer between incompatible resource control systems. It translates between different system protocols and interfaces, enabling coordinated resource movement and management across previously incompatible systems without requiring direct integration between them, thus simplifying overall management complexity.
Data Source
AI summary
In one embodiment, an apparatus can include a monitoring module configured to send an indicator representing that performance of a virtual resource satisfies a threshold condition. The apparatus can also include a management module configured to move a set of virtual resources including the virtual resource from a first portion of data center hardware resources to a second portion of data center hardware resources mutually exclusive from the first portion of data center hardware resources in response to the indicator. The management module can be configured to define the set of virtual resources based on an operational relationship between the virtual resource and the remaining virtual resources included in the set of virtual resources.


