Abstract: Systems and method for scheduler architectures that can enable reconfigurable architecture to execute multiple functions in accordance with embodiments of the invention are described.

Abstract: A computing system includes a computing device configured to execute a plurality of virtual machines, each virtual machine of the plurality of virtual machines configured to provide control plane functionality for at least a different respective subset of forwarding units of a network device, the computing device distinct from the network devices. The computing system also includes a policy agent configured to execute on the computing device. The agent is configured to determine that a particular virtual machine of the plurality of virtual machines provides control plane functionality for one or more forwarding units of the network device; determine control plane usage metrics for resources of the particular virtual machine; and output, to a policy controller, data associated with the control plane usage metrics and data associating the particular virtual machine with the one or more forwarding units for which the particular virtual machine provides control plane functionality.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training neural networks. One of the methods for training a neural network configured to perform a machine learning task includes performing, at each of a plurality of iterations: performing a training step to obtain respective new gradients of a loss function; for each network parameter: generating an optimizer network input; processing the optimizer network input using an optimizer neural network, wherein the processing comprises, for each cell: generating a cell input for the cell; and processing the cell input for the cell to generate a cell output, wherein the processing comprises: obtaining latent embeddings from the cell input; generating the cell output from the hidden state; and determining an update to the hidden state; and generating an optimizer network output defining an update for the network parameter; and applying the update to the network parameter.

Abstract: A software upgrade to be deployed by a cloud extension agent is received by a remote network management platform, the cloud extension agent running locally on a network and initiating an outbound connection to the remote network management platform through a firewall of the network. A command is generated for the software upgrade, the command comprising an identification of a source of the software upgrade. The command is provided to the cloud extension agent, wherein providing the command causes the cloud extension agent to acquire the software upgrade from the identified source and deploy the software upgrade.

Abstract: In one example, a method includes obtaining, by a policy controller for a virtualization infrastructure, a first profile for a first group of one or more elements, the first profile comprising a first ruleset having one or more alarms; obtaining, by the policy controller, a second profile for a second group of one or more elements, the second profile comprising a second ruleset having one or more alarms; receiving, by the policy controller, configuration data configuring an element of the virtualization infrastructure as a member of the first group of one or more elements and as a member of the second group of one or more elements; generating, by the policy controller based on the configuration data, a profile for the element comprising the first ruleset and the second ruleset; and outputting, by the policy controller to a computing device, the profile for the element.

Abstract: The present invention addresses the need for improved virtualized cloud infrastructure policy implementation and management in order allow real-time monitoring and optimization of virtualized resources. It provides systems and methods for real-time cloud infrastructure policy implementation and management that include a plurality of host devices, a plurality of real-time probe agents associated with the plurality of host devices operating on each of the plurality of host devices, and a policy engine communicatively coupled to the plurality of host devices and containing a policy associated with an application program deployed in at least one of the plurality of host devices. The policy engine is programmed to monitor in real time changes in deployment of the application program across the plurality of host devices and to push the policy to the real-time probe agent operating on each host device on which the application program is deployed.

Abstract: A computing system includes a computing device configured to execute a plurality of virtual machines, each virtual machine of the plurality of virtual machines configured to provide control plane functionality for at least a different respective subset of forwarding units of a network device, the computing device distinct from the network devices. The computing system also includes a policy agent configured to execute on the computing device. The agent is configured to determine that a particular virtual machine of the plurality of virtual machines provides control plane functionality for one or more forwarding units of the network device; determine control plane usage metrics for resources of the particular virtual machine; and output, to a policy controller, data associated with the control plane usage metrics and data associating the particular virtual machine with the one or more forwarding units for which the particular virtual machine provides control plane functionality.

Abstract: In one aspect, a method is disclosed for determining regulatory requirements for a facility, is disclosed. The method includes transmitting a plurality of requests for display on a user device, the plurality of requests prompting the user for facility information. The method includes receiving a selection in a first screen of a user interface of the user device, the selection including at least one jurisdiction of the user. The method includes generating a second screen for display on the user device, the second screen including a request for additional requirements, the request based on a jurisdiction received in the selection. The method includes receiving a second selection in the second screen displayed on the user device, the second selection including an identification of a product selected by the user. The method includes storing the first and second selection in a memory for transmission to an analytics device.

Abstract: Systems and methods described herein may relate to providing a dynamically configurable circuitry able to process data associated with a variety of matrix dimensions using one or more complex number operations, one or more real number operations, or both. Configurations may be applied to the configurable circuitry to program the configurable circuitry for a next operation. The configurable circuitry may process data according to a variety of operations based at least in part on operation of a repeated processing element coupled in a compute network of processing elements.

Abstract: In one aspect, a method is disclosed for determining regulatory requirements for a facility, is disclosed. The method includes transmitting a plurality of requests for display on a user device, the plurality of requests prompting the user for facility information. The method includes receiving a selection in a first screen of a user interface of the user device, the selection including at least one jurisdiction of the user. The method includes generating a second screen for display on the user device, the second screen including a request for additional requirements, the request based on a jurisdiction received in the selection. The method includes receiving a second selection in the second screen displayed on the user device, the second selection including an identification of a product selected by the user. The method includes storing the first and second selection in a memory for transmission to an analytics device.

Abstract: This disclosure describes techniques for monitoring, scheduling, and performance management for virtualization infrastructures within networks. In one example, a computing system includes a plurality of different cloud-based compute clusters (e.g., different cloud projects), each comprising a set of compute nodes. Policy agents execute on the compute nodes to monitor performance and usage metrics relating to resources of the compute nodes. Policy controllers within each cluster deploy policies to the policy agents and evaluate performance and usage metrics from the policy agents by application of one or more rulesets for infrastructure elements of the compute cluster. Each of the policy controllers outputs data to a multi-cluster dashboard software system indicative of a current health status for the infrastructure elements based on the evaluation of the performance and usage metrics for the cluster.

Abstract: A variety of different graphical user interfaces are generated that when displayed provide a visual and interactive representation of one or more performance metrics associated with the operation of a computer network. The graphical user interfaces may be used to monitor the underlay computer network for a virtualization infrastructure, as one example. Aspects include grouping the servers of a computer network into a plurality of aggregates, each aggregate comprising one or more servers. A set of probes are configured that are issued by an agent of a server in one aggregate and sent through the computer network to one or more agents in the server(s) of a different aggregate. Responses and other measurements taken based on the issuance of the probes is gathered and analyzed to generate metrics that are then used to generate, at least in part, the information provided in the graphical user interfaces.

Abstract: This disclosure describes techniques for monitoring, scheduling, and performance management for virtualization infrastructures within networks. In one example, a computing system includes a plurality of different cloud-based compute clusters (e.g., different cloud projects), each comprising a set of compute nodes. Policy agents execute on the compute nodes to monitor performance and usage metrics relating to resources of the compute nodes. Policy controllers within each cluster deploy policies to the policy agents and evaluate performance and usage metrics from the policy agents by application of one or more rulesets for infrastructure elements of the compute cluster. Each of the policy controllers outputs data to a multi-cluster dashboard software system indicative of a current health status for the infrastructure elements based on the evaluation of the performance and usage metrics for the cluster.

Abstract: A computing system includes a computing device configured to execute a plurality of virtual machines, each virtual machine of the plurality of virtual machines configured to provide control plane functionality for at least a different respective subset of forwarding units of a network device, the computing device distinct from the network devices. The computing system also includes a policy agent configured to execute on the computing device. The agent is configured to determine that a particular virtual machine of the plurality of virtual machines provides control plane functionality for one or more forwarding units of the network device; determine control plane usage metrics for resources of the particular virtual machine; and output, to a policy controller, data associated with the control plane usage metrics and data associating the particular virtual machine with the one or more forwarding units for which the particular virtual machine provides control plane functionality.

Abstract: A cloud extension agent can be provided on a customer premise for interfacing, via an outbound secure connection, cloud based services.

Abstract: A cloud extension agent can be provided on a customer premise for interfacing, via an outbound secure connection, cloud based services.

Abstract: A cloud extension agent can be provided on a customer premise for interfacing, via an outbound secure connection, cloud based services. The cloud extension agent can reach the cloud based services through existing firewall infrastructure, thereby providing simple, secure deployment. Furthermore, the secure connection can enable substantially real-time communication with a cloud service to provide web-based, substantially real time control or management of resources on the customer premises via the cloud extension agent.

Abstract: A method of monitoring status information of devices is described. The method includes establishing a first connection to a hardware resource executing a cloud extension agent on a local network, over a wide area network external from the local network and separated by at least one firewall, using a standard internet protocol. The method further includes sending, via the first connection, a first set of instructions to manage a first set of mobile devices by one or more local servers on the local network; and receiving status information via the secure network connection, wherein the status information is from the one or more local servers on the local network associated with a plurality of devices that access the one or more local servers.