Vmware, Inc.

Suket Gakhar

Vishesh Kumar Nirwal

Shubham Verma

Ravi Kumar Reddy Kottapalli

Tejas Sanjeev Panse

Lakshmi Narasimhan

Anant Kumar

Kannan Balasubramanian

Samdeep Nayak

Prafull Kumar

Santoshkumar Babalad

Prabhakara Rao Narnakaje Venugopala

Methods, apparatus, systems, and articles of manufacture are disclosed for rack nesting in virtualized server systems. An example apparatus includes a resource discoverer to identify resources to be allocated to the nested rack based on a policy indicative of one or more physical racks from which to identify the resources, and determine candidate resources from the resources to be allocated to the nested rack based on a capacity parameter indicative of a quantity of the resources available to be allocated to the nested rack, the candidate resources to have first hypervisors, and a nested rack controller to generate the nested rack by deploying second hypervisors on the first hypervisors, the second hypervisors to facilitate communication between the candidate resources and one or more virtual machines on the second hypervisors, the nested rack to execute one or more computing tasks based on the communication.

Methods and apparatus for rack nesting in virtualized server systems

Methods, apparatus, systems and articles of manufacture to dynamically discover and host services in fog servers are disclosed. An example apparatus includes a service manager to determine that a received service request from an Internet of things (IoT) device is not able to be performed locally at a first fog server; a first interface to transmit the service request to a fog resource manager; and a second interface to transmit instructions to the IoT device to transmit the service request to a second fog server, a response from the fog resource manager including service data related to the second fog server.

Methods, apparatus, and systems to dynamically discover and host services in fog servers

In a computer-implemented method for upgrading a fault tolerant hyper-converged infrastructure in an environment with no additional physical infrastructure, a workload domain having a plurality of hosts is chosen for an upgrade. One or more conflict groups are calculated for each host, and a physical host in the workload domain is selected. A number and a size of one or more nested hosts is determined and a different nested host is created in a management cluster for each of the one more conflict groups in the physical host. A communication network provides communication between a virtual machine (VM) on the different nested host and a VM in the physical host. The physical host is put into a maintenance mode, upgraded, and then returned from the maintenance mode to an operational mode.

Fault tolerant hyper-converged infrastructure upgrades in an environment with no additional physical infrastructure

An inventory cache that contains a rack inventory state is created, with a hardware management system (HMS), for each of a plurality of components on the software-defined data center (SDDC) rack. The rack inventor state is stored at a database. During a restart of the HMS the rack inventory state at the database is accessed by the HMS and used to create the rack inventory state instead of performing a SDDC rack discovery by the HMS.

Software-defined data center (SDDC) rack quick discovery after hardware management system (HMS) restart

In a computer-implemented method for using a nested host manager in a hyper converged infrastructure to streamline the upgrade process for one or more hosts in a workload domain, a first workload domain having one or more hosts is chosen, and at least one host of the one or more hosts is designated for an upgrade. The resource allotment of the at least one host is evaluated and a nested host having a comparable resource allotment is selected and provided in a second workload domain. Communication is redirected from the at least one host to the nested host. The at least one host is placed in a maintenance mode, updated, and returned to an operational mode.

Nested host manager in a hyper-converged infrastructure

Disclosed are various examples for top-of-rack (TOR) switch replacement in hyper-converged computing environments. A bring-up network configuration is applied to a network switch to install the network switch in a rack. An active workload within the rack is analyzed to identify a workload network configuration for the active workload. The active workload is reassigned to the network switch from a faulty network switch. The network switch is configured based on the workload network configuration for the active workload.

Top-of-rack switch replacement for hyper-converged infrastructure computing environments

Systems and methods herein can provide virtual resource management for hyper-converged infrastructures. In an example, a method can include identifying an overloaded cluster requesting at least one resource, the overloaded cluster including a hypervisor on a virtual machine. The method can further include identifying an additional cluster having a free resource corresponding to the requested resource. The method can include instantiating a nested host on the additional cluster, the nested host being configured to provide the free resource and the nested hosted comprising an additional hypervisor that manages an additional virtual machine. Further, the method can include registering the nested host with the overloaded cluster such that the overloaded cluster is authorized to use the free resource.

Systems and methods for cluster resource balancing in a hyper-converged infrastructure

Disclosed are various examples for improving the performance of an imaging service that can assign an IP address. The imaging service can implement the DHCP protocol and assign other configuration parameters using the DHCP protocol. An IP address cache can also be employed to speed a subsequent IP address assignment by the imaging service.

Assigning IP addresses and configuration parameters in hyper-converged infrastructure

Embodiments of the present disclosure relate to synthesizing a virtual stereo device. Embodiments include receiving a request from a user to synthesize the virtual stereo device based on a first camera and a second camera associated with a client device. Embodiments include calibrating the virtual stereo device by using images received from the first camera and the second camera to determine calibration parameters. Embodiments include storing the calibration parameters in a manifest file and transmitting the manifest file to the client device. Embodiments include receiving encoded frames associated with the virtual stereo device from the client device, each of the encoded frames including a stereo image that has been created by the client device, based on the calibration parameters in the manifest file, from image data captured using the first camera and the second camera. Embodiments include decoding the encoded frames for use by an application involving stereo vision.

Virtual stereo device redirection for virtual desktops

Disclosed are various examples for validating a public SSH host key. The examples can be implemented in a hyper-converged computing environment to detect potential man-in-the-middle attacks in which an attacker intercepts or spoofs an internet protocol (IP) address of a target virtual machine (VM) that is being addressed by a management service and with which a secure shell (SSH) session is being established.

SSH key validation in a hyper-converged computing environment

Disclosed are various examples for top-of-rack (TOR) switch replacement in hyper-converged computing environments. A hyper-converged management service can maintain network configurations applied to a first network switch of a rack. When the performance of the first network switch does not satisfy a performance threshold, the hyper-converged management service can decommission the first network switch in the rack and configure a second network switch for replacement of the first network switch in the rack by accessing the at least one network configuration applied to the first network switch from the memory and applying the at least one network configuration to the second network switch.

Disclosed are various examples for device replacement for device replacement in hyper-converged infrastructure environments. A workload hash for a workload to be processed by a hyper-converged compacting device can be compared to a device hash for the hyper-converged computing device to determine whether to assign the workload to the hyper-converged computing device for processing. When a new device is added to a hyper-converged infrastructure environment, a device has for the new device can be generated and workloads having low resources can be identified for reassignment to the new device.

Device replacement for hyper-converged infrastructure computing environments

A quick hardware inventory of a software-defined data center (SDDC) multi-rack is created. A hardware management server (HMS) receives an imaging of a first rack and performs a node hash of attributes of the imaging of the first rack. A hash database is then checked for an inventory hash that matches the node hash of the first rack. If a match is found, a rack inventory is loaded from a persistent rack data inventory correlated with the inventory hash instead of the HMS performing a discovery and inventory of the first rack. In addition, a sensor error log of the first rack is checked for any errors and the rack inventory is modified based on any errors in the sensor error log. The rack inventory is then saved into the server switch object cache of the HMS. The steps are repeated by the HMS for each additional rack.

Growing community of inventors

Bengaluru, India

Suket Gakhar