Abstract: 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.

Abstract: A system and method for automatically generating recurrent neural networks for log anomaly detection uses a controller recurrent neural network that generates an output set of hyperparameters when an input set of controller parameters is applied to the controller recurrent neural network. The output set of hyperparameters is applied to a target recurrent neural network to produce a child recurrent neural network with an architecture that is defined by the output set of hyperparameters. The child recurrent neural network is then trained, and a log classification accuracy of the child recurrent neural network is computed. Using the log classification accuracy, at least one of the controller parameters used to generate the child recurrent neural network is adjusted to produce a different input set of controller parameters to be applied to the controller recurrent neural network so that a different child recurrent neural network for log anomaly detection can be generated.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for automatically generating recurrent neural networks for log anomaly detection uses a controller recurrent neural network that generates an output set of hyperparameters when an input set of controller parameters is applied to the controller recurrent neural network. The output set of hyperparameters is applied to a target recurrent neural network to produce a child recurrent neural network with an architecture that is defined by the output set of hyperparameters. The child recurrent neural network is then trained, and a log classification accuracy of the child recurrent neural network is computed. Using the log classification accuracy, at least one of the controller parameters used to generate the child recurrent neural network is adjusted to produce a different input set of controller parameters to be applied to the controller recurrent neural network so that a different child recurrent neural network for log anomaly detection can be generated.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: In a computer-implemented method for viewing a snapshot of a virtual machine, during operation of a virtual machine in a first console, at least one snapshot of the virtual machine is presented for selection, wherein the snapshot includes a previous state of the virtual machine. Responsive to a selection of the snapshot, a second virtual machine of the selected snapshot is deployed in a second console, wherein the second virtual machine is deployed without closing the virtual machine in the first console.

Abstract: 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.

Abstract: 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.