Virtualized File Server Storage Segmentation
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Solution Overview
Problem
Current virtualization environments face inefficiencies in resource utilization and storage management, as physical machines are often underutilized when running a single dedicated operating system, leading to wastefulness and inefficiencies in computing resources.
Innovation Solution
The implementation of a virtualized file server architecture that utilizes File Server Virtual Machines (FSVMs) and Controller/Service Virtual Machines (CVMs) to dynamically manage storage access operations, distribute data across multiple host machines, and optimize storage by using local storage for improved performance and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If physical machines run a single dedicated operating system, then system stability and simplicity are improved, but resource utilization deteriorates
Solution Approach 1:
The patent implements virtualization technology that allows a single physical machine to host multiple virtual machines, each running its own operating system. The physical machine's computing resources (CPU, memory, storage, I/O) are virtualized and dynamically allocated to multiple VMs, enabling one physical machine to serve multiple functions and user needs simultaneously while maintaining system stability through isolation between VMs.
2Productivity
If storage data is distributed across multiple host machines, then storage efficiency and performance are improved, but network communication overhead increases
Solution Approach 1:
The patent divides storage data into multiple segments and distributes them across different host machines in the cluster. Each host machine stores portions of the overall dataset, enabling parallel access and improving storage efficiency. The segmentation allows load balancing and reduces the burden on any single host, while the distributed architecture enhances fault tolerance and scalability.
3Productivity
If multiple virtual machines share physical resources, then resource utilization is improved, but resource allocation complexity increases
Solution Approach 1:
The patent implements a resource management system that continuously monitors the resource usage status of physical machines and virtual machines. Based on this feedback, the system dynamically adjusts resource allocation, migrating VMs between hosts or adjusting resource quotas to optimize utilization. This feedback mechanism enables automated resource management, reducing the complexity of manual allocation while maximizing resource efficiency.
Data Source
AI summary
Examples of systems described herein include a file server virtual machine of a virtualized file server configured to communicate with a user virtual machine over a first virtual network to transfer data and to communicate with a controller virtual machine over a second virtual network to transfer control information.