Vmware, Inc.

Wmware, Inc.

Rahul Chandrasekaran

Ravi Kant Cherukupalli

Anant Agarwal

Aalap Desai

Uttam Gupta

Vikram Nair

Manoj Krishnan

Prafulla Mahindrakar

Zhelong Pan

Piyush Parmar

Pawan Saxena

Alaa Shaabana

Gregory Jean-Baptiste

Ravi Cherukupalli

A number of hosts in a logical cluster is adjusted up or down in an elastic manner by tracking membership of hosts in the cluster using a first data structure and tracking membership of hosts in a spare pool using a second data structure, and upon determining that a triggering condition for adding another host is met and that all hosts in the cluster are being used, selecting a host from the spare pool, and programmatically adding an identifier of the selected host to the first data structure and programmatically deleting the identifier of the selected host from the second data structure.

System and method for managing size of clusters in a computing environment

Systems and methods for analyzing the usage of a set of workloads in a hyper-converged infrastructure are disclosed. A neural network model is trained based upon historical usage data of the set of workloads. The neural network model can make usage predictions of future demands on the set of workloads to minimize over-allocation or under-allocation of resources to the workloads.

Neural network model for predicting usage in a hyper-converged infrastructure

A system and method for scaling resources of a secondary network for disaster recovery uses a disaster recovery notification from a primary resource manager of a primary network to a secondary resource manager of the secondary network to generate a scale-up recommendation for additional resources to the secondary network. The additional resources are based on latest resource demands of workloads on the primary network included in the disaster recovery notification. A scale-up operation for the additional resources is then executed based on the scale-up recommendation from the secondary resource manager to operate the secondary network with the additional resources to run the workloads on the secondary network.

System and method for scaling resources of a secondary network for disaster recovery

In a computer-implemented method for modifying a state of a virtual machine, information between two states of a virtual machine is compared, wherein the two states include a current state of the virtual machine and previous state of the virtual machine. The previous state of the virtual machine is included within a snapshot of the virtual machine at the previous state. Information that is different between the two states is identified. The information that is different between the two states is presented, wherein the information that is different is selectable for copying between the two states.

Modifying a state of a virtual machine

A method of restarting a virtual machine (VM) running in a cluster in a first data center, in a second data center, includes: transmitting images of VMs, including a first VM, running in the cluster of hosts at a first point in time to the second data center for replication in the second data center; generating difference data representing a difference in an image of the first VM at a second point in time and the image of the first VM at the first point in time; transmitting the difference data to the second data center; setting the first VM to be inactive in the first data center; and communicating with a control plane in the second data center to set as active, and power on, a VM in the second data center using the replicated image of the first VM updated with the difference data.

Cloud restart for VM failover and capacity management

Disclosed are various implementations of cluster capacity management for infrastructure updates. In some examples, cluster hosts for a cluster can be scheduled for an update. A component of a datacenter level resource scheduler can analyze cluster specific resource usage data to identify a cluster scaling decision for the cluster. The datacenter level resource scheduler transmits an indication that the resource scheduler is successfully invoked. Cluster hosts can then be updated.

Cluster capacity management for hyper converged infrastructure updates

A method of restarting a virtual machine running in a cluster of hosts in a first data center, in a second data center, wherein each virtual machine is assigned a priority level, includes: transmitting virtual machines images running in the cluster at a first time to the second data center; selecting virtual machines to be restarted in the second data center according to priority levels assigned; and for each selected virtual machine, (a) generating difference data in an image of the selected virtual machine at a second time and at the first time, (b) transmitting the difference data to the second data center, (c) setting the virtual machine inactive in the first data center, and (d) communicating with the second data center to set as active; and power on, a virtual machine in the second data center using the image of the virtual machine transmitted to the second data center.

Cloud restart for non-critical performance virtual machines

In a computer-implemented method for integrating a file system of a virtual machine into a native file explorer of a client system, a virtualization infrastructure that manages at least one virtual machine is accessed. The virtual machine is discovered. The file system of virtual machine is accessed. The file system of virtual machines is integrated with the native file explorer of the client system.

Integrating virtual machine file system into a native file explorer

The subject matter described herein provides virtual computing instance (VCI) component protection against networking failures in a datacenter cluster. Networking routes at the host level, VCI level, and application level are monitored for connectivity. Failures are communicated to a primary host or to a datacenter virtualization infrastructure that initiates policy-based remediation, such as moving affected VCIs to another host in the cluster that has all the necessary networking routes functional.

Protecting virtual computing instances from network failures

In a computer-implemented method for comparing states of a virtual machine, a plurality of selectable states including a current state of a virtual machine and at least one snapshot of the virtual machine are presented for selection, wherein the at least one snapshot includes a state of the virtual machine at a previous state. Responsive to a selection of at least two states of the plurality of selectable states, a comparison tool for comparing information between the at least two states of the virtual machine is presented.

Comparing states of a virtual machine

Systems and techniques are described for restoring virtual machines. A described technique includes receiving location data specifying a location of a mobile device of a user. A first distance between the mobile device and a first data center that stores a virtual machine template and a snapshot associated with the user is determined. The snapshot represents a state of a virtual machine. A second distance between the mobile device and a second data center that is different from the first data center is determined. A determination is made that the mobile device of the user is closer to the second data center than the first data center. In response to determining that the mobile device is closer to the second data center than the first data center, the snapshot is transferred from the first data center to the second data center.

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San Jose, CA, United States of America

Rahul Chandrasekaran