Vmware, Inc.

Gireesha Udagani Siddappa

Samdeep Nayak

Ravi Kumar Reddy Kottapalli

Shubham Verma

Srinivas Sampatkumar Hemige

Methods, apparatus, systems and articles of manufacture are disclosed for managing compute resources in a computing environment. Disclosed examples are to select an offering workload in a computing environment to lend at least one resource to a needy workload in the computing environment; Disclosed examples are also to cause a host associated with the offering workload to at least one of (i) instantiate a first virtual machine when the host is implemented with a second virtual machine or (ii) instantiate a first container when the host is implemented with a second container. Disclosed examples are further to assign the first virtual machine or the first container to the needy workload.

Methods and apparatus to manage compute resources in a hyperconverged infrastructure computing environment

Methods, apparatus, systems and articles of manufacture are disclosed for managing compute resources in a computing environment. Examples disclosed herein include identifying (i) needy workloads and (ii) offering workloads in the computing environment. Disclosed examples also include selecting a first one of the offering workloads to lend resources to a first one of the needy workloads. Disclosed examples further include causing a host associated with the first one of the offering workloads to at least one of (i) instantiate a first virtual machine when the host is implemented with a second virtual machine or (ii) instantiate a first container when the host is implemented with a second container, and assigning the first virtual machine or the first container to the first one of the needy workloads.

Example methods, apparatus and articles of manufacture to proactively self-heal workload domains in hyperconverged infrastructures are disclosed herein. A disclosed example apparatus includes a fault predictor to determine a probability that a node of a workload domain in a hyperconverged infrastructure will likely become faulty, and a decommissioner to decommission the node from the workload domain after the probability indicates the node will likely become faulty.

Methods and apparatus to proactively self-heal workload domains in hyperconverged infrastructures

A distributed storage resource management in a hyper converged infrastructure is created. The system accesses a virtualized infrastructure comprising a plurality of host machines, each of said plurality of host machines having resources, the resources comprising: a central processing unit (CPU), a memory, and a storage, each of the plurality of host machines communicatively coupled with one or more virtual machines. The resources in each of the host machines are disaggregated. The resources are aggregated based on a nature of the resource into a common pool of shared resources. A request is received for a workload application having a resource requirement. The resource requirement of the workload application is matched with resources in the common pool of shared resources. The matched resources in the common pool of shared resources are assigned to the workload application.

Distributed storage resource management in a hyper converged infrastructure

Methods, apparatus, systems and articles of manufacture are disclosed for managing compute resources in a hyperconverged infrastructure computing environment. An example apparatus includes a resource manager table populator to populate a resource management table with information identifying workloads and a workload categorizer to categorize the workloads identified in the resource management table as needy workloads or offering workloads. The disclosed apparatus further include a workload selector to select an offering workload to lend resources to a needy workload, and a resource configurer. The resource configurer to cause a host included in the workload to spin a virtual machine or create a container, and assign the virtual machine or container to support the needy workload.

Growing community of inventors

Bengaluru, India

Gireesha Udagani Siddappa