Dynamic Virtual Desktop Provisioning Across Cloud Regions
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Solution Overview
Problem
Existing cloud-based virtual desktop systems face challenges in providing optimal access to virtual desktops across multiple cloud regions, leading to issues such as unnecessary costs and availability problems due to changing conditions, which can result in revenue loss for companies.
Innovation Solution
A virtual desktop system that includes a prioritized list of virtual desktops and associated cloud resources, managed by a control plane, which selects the highest priority desktop to meet user requirements, ensuring seamless access and availability by dynamically switching between interchangeable desktops across different cloud regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single cloud region is used for virtual desktops, then system complexity is reduced, but availability and cost optimization are compromised
Solution Approach 1:
The system segments virtual desktops into multiple independent instances across different cloud regions. Each virtual desktop can be deployed in separate cloud regions (e.g., us-east-1, us-west-2), allowing independent management and failover. This segmentation enables the system to achieve high availability without requiring a monolithic complex configuration, as each region operates independently but can be selected based on current needs.
Solution Approach 2:
The system dynamically selects which cloud region to deploy virtual desktops in based on real-time conditions such as cost, availability, and performance requirements. The prioritized list mechanism allows the system to dynamically reorder or switch between cloud regions without manual intervention, adapting to changing conditions automatically. This dynamic approach resolves the contradiction by making the complexity manageable through automation rather than manual configuration.
2Adaptability or versatility
If multiple cloud regions are deployed, then availability and cost optimization improve, but system complexity increases
Solution Approach 1:
The system changes parameters such as deployment location, cost thresholds, and availability requirements to automatically select optimal cloud regions. By adjusting these parameters dynamically, the system can adapt to different business needs without increasing operational complexity. For example, the system can switch from prioritizing cost to prioritizing availability based on current business conditions, providing flexibility without manual reconfiguration.
Solution Approach 2:
The system performs self-management of multi-cloud region deployments through automated prioritization and selection. The control plane automatically determines which virtual desktops to deploy in which cloud regions based on predefined criteria, eliminating the need for manual intervention in complex configuration tasks. This self-service capability allows the system to handle multiple cloud regions without proportionally increasing operational complexity.
3Loss of energy
If virtual desktops are dynamically switched between cloud regions, then cost and availability optimize, but service continuity may be affected
Solution Approach 1:
The system performs preliminary actions by maintaining multiple virtual desktop instances across different cloud regions simultaneously, even before switching is needed. The prioritized list is pre-configured with alternative cloud regions, so when a switch is required, the system can quickly failover to a pre-prepared instance without service interruption. This preliminary preparation allows cost optimization through selective deployment while maintaining service continuity through ready-to-switch alternatives.
Solution Approach 2:
The system provides beforehand cushioning by deploying redundant virtual desktop instances in multiple cloud regions with different characteristics. This redundancy acts as a cushion against failures or suboptimal conditions in any single region. When switching between regions for cost or availability reasons, the system has pre-established alternatives that can absorb the transition without impacting service continuity, thus cushioning against potential disruptions.
Data Source
AI summary
A system and method for providing access to a virtual cloud desktop by a client device is disclosed. The requirements of a logical desktop are determined. Virtual desktops and associated cloud resources meeting the requirements of the logical desktop are determined. Each of the virtual desktops and cloud resources are associated with a cloud region. The virtual desktops that meet the requirements are prioritized. A request is received from the user for the logical desktop. The highest priority virtual desktop is selected. The selected virtual desktop is made accessible to the client device.