Hybrid Cloud Management Module for Appliance Deployment
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Solution Overview
Problem
Current cloud computing systems lack an efficient method to deploy and manage virtual appliances seamlessly across hybrid cloud environments, which combine on-premise data centers and public clouds, leading to challenges in resource integration and configuration synchronization.
Innovation Solution
A computer-implemented method for deploying virtual appliances in a hybrid cloud system by learning parameters of the public cloud environment, receiving user selections, deploying appliances on both data centers and public clouds, and sharing configuration states through secure encrypted tunnels, utilizing a hybrid cloud management module to manage and integrate resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual appliances are deployed across hybrid cloud environments combining on-premise data centers and public clouds, then resource integration and configuration synchronization are improved, but system complexity and deployment management difficulty increase
Solution Approach 1:
The patent introduces a cloud management module as an intermediary component that mediates between on-premise data centers and public cloud environments. This module learns cloud environment parameters, manages appliance deployment across both environments, and synchronizes configurations, thereby simplifying the complexity of hybrid cloud deployment management while enabling seamless resource integration.
2Stability of the object's composition
If configuration states are shared between data center and public cloud appliances, then configuration synchronization is improved, but security risks and transmission complexity increase
Solution Approach 1:
The patent implements preliminary action by establishing secure encrypted tunnels before configuration state sharing begins. The system pre-configures security protocols and encryption mechanisms, ensuring that configuration synchronization occurs through protected channels from the outset, thereby mitigating security risks while maintaining synchronization stability.
3Manufacturing precision
If cloud environment parameters are learned and stored, then deployment accuracy is improved, but data storage requirements and system overhead increase
Solution Approach 1:
The patent applies local quality by storing cloud environment parameters locally within the cloud management module rather than centralized elsewhere. This localized storage approach enables the module to quickly access and utilize parameter information for accurate appliance deployment and configuration, improving deployment accuracy while minimizing the need for extensive centralized data storage infrastructure.
Data Source
AI summary
Techniques are disclosed for deploying and maintaining appliances in a hybrid cloud computing system which includes an on-premise data center and a public cloud computing system configured to provide a common platform for managing and executing virtual workloads. Appliances to be deployed may include those required (or useful) for hybrid operations, including a cloud gateway appliance, a wide area network (WAN) optimizer, a layer 2 (L2) concentrator, and a mobility agent that handles virtual machine (VM) migration traffic. Such appliances are deployed first on the on-premise data center, and remote jobs are then sent to the public cloud to deploy the same appliances thereon. After deployment, the appliances deployed on the on-premise data center and corresponding appliances on the public cloud share configuration states and may further be wired together to communicate via secure encrypted tunnels.