Dell products l.p. (20240103899). VIRTUAL MACHINE DEPLOYMENT BASED ON WORKLOAD AND HARDWARE IN A HYPER-CONVERGED INFRASTRUCTURE (HCI) ENVIRONMENT simplified abstract

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VIRTUAL MACHINE DEPLOYMENT BASED ON WORKLOAD AND HARDWARE IN A HYPER-CONVERGED INFRASTRUCTURE (HCI) ENVIRONMENT

Organization Name

dell products l.p.

Inventor(s)

Kai Chen of Shanghai (CN)

Hongwei Yue of Shanghai (CN)

Yuyan Chen of Shanghai (CN)

VIRTUAL MACHINE DEPLOYMENT BASED ON WORKLOAD AND HARDWARE IN A HYPER-CONVERGED INFRASTRUCTURE (HCI) ENVIRONMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240103899 titled 'VIRTUAL MACHINE DEPLOYMENT BASED ON WORKLOAD AND HARDWARE IN A HYPER-CONVERGED INFRASTRUCTURE (HCI) ENVIRONMENT

Simplified Explanation

The patent application abstract describes systems and methods for aligning virtual machines (VMs) with hyperconverged infrastructure (HCI)-based hardware based on the VM's characteristic type. Each cluster node may be provisioned with a specific combination of hardware, and methods include determining target workload types for each node based on the provisioned information handling resources. Deployment of VMs among cluster nodes is managed based on factors like workload compatibility and hardware characteristics.

  • The innovation involves aligning virtual machines with specific hardware configurations in a hyperconverged infrastructure environment.
  • Cluster nodes are provisioned with different combinations of hardware based on the workload types they are expected to handle.
  • VM deployment is optimized based on workload compatibility and hardware characteristics of the cluster nodes.

Potential Applications

This technology could be applied in:

  • Cloud computing environments
  • Data centers
  • Virtualization platforms

Problems Solved

  • Efficient resource allocation in hyperconverged infrastructure
  • Optimized workload distribution among cluster nodes
  • Improved performance and scalability of virtualized environments

Benefits

  • Enhanced performance and resource utilization
  • Simplified management of virtual machines
  • Increased flexibility and scalability in infrastructure deployment

Potential Commercial Applications

Optimizing VM deployment in hyperconverged infrastructure for:

  • IT companies
  • Cloud service providers
  • Data center operators

Possible Prior Art

One possible prior art could be the use of workload management software in virtualized environments to optimize resource allocation and performance.

Unanswered Questions

How does this technology impact energy efficiency in data centers?

This article does not specifically address the energy efficiency aspect of the technology. However, by optimizing VM deployment and workload distribution, it could potentially lead to more efficient resource utilization and reduced energy consumption in data centers.

What are the security implications of aligning VMs with specific hardware configurations?

The article does not delve into the security aspects of the technology. It would be important to consider how aligning VMs with specific hardware configurations could impact security measures and potential vulnerabilities in the infrastructure.


Original Abstract Submitted

disclosed systems and methods align virtual machines (vms) with hyperconverged infrastructure (hcl)-based hardware based on a determination of the vm's characteristic type. each cluster node may be provisioned with a specific combination of hardware. in some embodiments, disclosed methods include determining, for each of the plurality of nodes, a target workload type based at least in part on the combination of information handling resources provisioned on each node. disclosed methods may manage deployment of the vms among the cluster nodes based on one or more factors including a workload compatibility factor determined in accordance with a workload type of each vm and a target workload type of each node, where the target workload type may reflect a hardware characteristic of the node.