Cloud Management System Virtual Group Resource Allocation
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Solution Overview
Problem
Cloud-based computing architectures lack flexibility in resource selection and utilization, as they are typically supported by dedicated servers using unitary virtualization schemes, limiting the ability to maximize computing resource usage across different infrastructures and virtualization mechanisms.
Innovation Solution
A cloud management system that identifies and manages computing resources regardless of infrastructure or virtualization schemes, allowing for the creation and management of virtual machines by classifying resources into 'virtual groups' based on usage and specifications, enabling flexible and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dedicated servers with unitary virtualization schemes are used to support cloud-based computing architectures, then cloud services can be deployed and managed, but flexibility in selecting resources and maximizing computing resource usage is limited
Solution Approach 1:
The cloud management system is designed to work with multiple virtualization schemes (unitary, distributed, hybrid) and various infrastructure types (dedicated servers, ad-hoc resources) through a unified interface. This allows the system to manage diverse computing resources without requiring dedicated infrastructure for each virtualization approach, thereby improving flexibility while avoiding the complexity of maintaining separate management systems for each infrastructure type.
Solution Approach 2:
The system segments computing resources into virtual groups based on usage patterns and specifications rather than physical infrastructure boundaries. This segmentation allows flexible allocation and selection of resources from different infrastructure sources without being constrained by dedicated server configurations, enabling improved adaptability while simplifying resource management through logical organization.
2Productivity
If dedicated servers with unitary virtualization schemes are used, then cloud services can be instantiated and managed, but the ability to maximize computing resource usage across different infrastructures is limited
Solution Approach 1:
The cloud management system dynamically allocates computing resources based on real-time usage patterns, workload demands, and resource availability across different infrastructures. This dynamic approach allows the system to maximize computing resource usage by continuously optimizing resource distribution rather than being constrained by static dedicated server configurations, thereby improving productivity while maintaining infrastructure flexibility.
Solution Approach 2:
The system changes resource allocation parameters dynamically based on usage patterns and specifications, allowing flexible adjustment of resource distribution across different infrastructures. By modifying allocation parameters rather than being fixed to dedicated server configurations, the system maximizes computing resource usage efficiency while preserving adaptability to various infrastructure types.
3Ease of operation
If unitary virtualization schemes are used on dedicated servers, then virtual machines can be instantiated, but flexibility in managing diverse virtualization mechanisms is reduced
Solution Approach 1:
The cloud management system provides a unified interface and common management mechanisms that work across multiple virtualization schemes (unitary, distributed, hybrid). This universality allows easy deployment and management of cloud services without requiring separate operational procedures for each virtualization type, thereby maintaining ease of operation while enhancing flexibility to support diverse virtualization mechanisms.
Solution Approach 2:
The system introduces an intermediary management layer that abstracts the complexities of different virtualization schemes. This intermediary layer provides standardized interfaces and management mechanisms that simplify cloud service deployment operations while enabling flexible support for multiple virtualization approaches underneath, resolving the contradiction between ease of operation and virtualization flexibility.
Data Source
AI summary
A cloud management system can maintain a set of “virtual groups,” and assign different “virtual groups” to particular computing resources. The “virtual groups” can be based on the particular usage (type of virtual machine, application of the virtual machine, function of the virtual machine, and the like) of the members in the groups and/or can be based on the specifications of the computing resources (type and amount of computing resources). When instantiating virtual machines in a cloud, the cloud management system can utilize the “virtual groups” to identify and allocate the computing resources.


