Abstract: A method of determining a physical location for an address. The method includes receiving from a first global positioning system on a vehicle a first set of global positioning data indicative of a vehicle location. The method may also receive from a second global positioning system on a portable electronic device a second set of global positioning data indicative of a portable electronic device location. The method may also receive a set of location metadata associated with a picture. The method determines a residence location from the first set of global positioning data, the second set of global positioning data, or the set of location metadata. The method then associates the physical location to the address.

Abstract: Computer-implemented methods, media, and systems for inter-cluster automated failover and migration of containerized workloads across edges devices are disclosed. One example method includes monitoring telemetry data received from a first software defined wide area network (SD-WAN) edge device that has a workload scheduled, where the telemetry data includes at least one of a health status of the workload or multiple runtime context elements at the first SD-WAN edge device. It is determined that a failure associated with either the first SD-WAN edge device or the workload occurs. A mode of the failure is determined. A remediation process based on the determined mode of the failure and a current state of the workload is performed.

Abstract: Systems and methods of the present disclosure include at least one building component detection sensor device configured to be deployed within (or proximate to) a building comprised of a plurality of building components. The at least one building component detection sensor device is configured to detect data relating to at least one building component of the plurality of building components. In addition, a building component property determination system includes a processor configured to execute instructions stored in memory to determine one or more properties of the at least one building component based at least in part on the data detected by the at least one building component detection sensor device.

Abstract: A system may include a router that may receive a plurality of data packets from one or more devices that communicatively couples to the router. The system may also include at least one processor that identifies an identity of a device based on a data packet received by the router from the device, generate an insurance policy that includes the device in response to identifying the identity of the device, and sends a notification indicative of the insurance policy to a computing device in response to generating the insurance policy.

Abstract: Computer-implemented methods, media, and systems for remediation of containerized workloads based on context breach at edge devices are disclosed. One example computer-implemented method includes monitoring telemetry data from a first software defined wide area network (SD-WAN) edge device, where the telemetry data includes multiple context elements at the first SD-WAN edge device. It is determined that a context change occurs for at least one of the context elements at the first SD-WAN edge device. It is determined that due to the context change, the first SD-WAN edge device does not satisfy one or more requirements for running one or more workloads scheduled to run. In response to the determination that the first SD-WAN edge device does not satisfy the one or more requirements, the at least one of the one or more workloads is offloaded from the first SD-WAN edge device to a second SD-WAN edge device.

Abstract: Computer-implemented methods, media, and systems for inter-cluster automated failover and migration of containerized workloads across edges devices are disclosed. One example method includes monitoring telemetry data received from a first software defined wide area network (SD-WAN) edge device that has a workload scheduled, where the telemetry data includes at least one of a health status of the workload or multiple runtime context elements at the first SD-WAN edge device. It is determined that a failure associated with either the first SD-WAN edge device or the workload occurs. A mode of the failure is determined. A remediation process based on the determined mode of the failure and a current state of the workload is performed.

Abstract: Computer-implemented methods, media, and systems for context based meta scheduling of containerized workloads across edge devices are disclosed. One example computer-implemented method includes receiving a manifest file that includes multiple context requirements of a workload, where the multiple context requirements include multiple runtime service level agreement (SLA) requirements of the workload. Telemetry data is received from multiple software defined wide area network (SD-WAN) edge devices, where the telemetry data includes respective context data of each of the multiple SD-WAN edge devices. A SD-WAN edge device is selected, based on the telemetry data and the multiple context requirements of the workload, from the multiple SD-WAN edge devices for placing the workload on the selected SD-WAN edge device, where the context data of the selected SD-WAN edge device meets the multiple context requirements of the workload. The workload is run on the selected SD-WAN edge device.

Abstract: Computer-implemented methods, media, and systems for automating secured deployment of containerized workloads on edge devices are disclosed. One example computer-implemented method includes receiving, by a software defined wide area network (SD-WAN) edge device and from a remote manager, resource quotas for a compute service to be enabled at the SD-WAN edge device. Pre-deployment sanity checks are performed by confirming availability of resources satisfying the resource quotas, where the resources are at the SD-WAN edge device. In response to the confirmation of the availability of resources satisfying the resource quotas, one or more security constructs are set up to isolate SD-WAN network functions at the SD-WAN edge device from the compute service at the SD-WAN edge device. The compute service is attached to a SD-WAN network by the SD-WAN edge device. An acknowledgement that the compute service is enabled at the SD-WAN edge device is sent to the remote manager.

Abstract: In one set of embodiments, a computer system can determine that one or more attacks have been or are in the process of being perpetrated against an anomaly detection system, where the anomaly detection system comprises a set of machine learning (ML) models trained to detect anomalous application programming interface (API) call behavior in a microservice-based application based on API call traces collected from the application. In response to this determination, the computer system can initiate one or more actions for securing the anomaly detection system against the one or more attacks.

Abstract: Computer-implemented methods, media, and systems for remediation of containerized workloads based on context breach at edge devices are disclosed. One example computer-implemented method includes monitoring telemetry data from a first software defined wide area network (SD-WAN) edge device, where the telemetry data includes multiple context elements at the first SD-WAN edge device. It is determined that a context change occurs for at least one of the context elements at the first SD-WAN edge device. It is determined that due to the context change, the first SD-WAN edge device does not satisfy one or more requirements for running one or more workloads scheduled to run. In response to the determination that the first SD-WAN edge device does not satisfy the one or more requirements, the at least one of the one or more workloads is offloaded from the first SD-WAN edge device to a second SD-WAN edge device.

Abstract: The current document is directed to a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing-facilities based on attribute values associated with the needed resources, the resource providers, and the resource consumers. The resource-exchange system organizes and tracks operations related to a resource exchange using a resource-exchange context.

Abstract: The current document is directed a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search-based auction methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing facilities. In one implementation, resource-provider computing facilities automatically generate hosting fees for hosting computational-resources-consuming entities on behalf of resource-consumer computing facilities that are included in bid-response messages returned by the resource-provider computing facilities in response to receiving bid-request messages. In another implementation, a cloud-exchange system automatically generates hosting fees on behalf of resource-provider computing facilities.

Abstract: Examples described herein include systems and methods for setting virtual machines (“VMs”) to desired configurations while the virtual machines are running. In one example, a user can select a VM and a desired configuration. An agent can then set an attribute of the virtual machine to indicate that on guest operation system (“OS”) reboot of the VM, the VM will enter BIOS mode. The agent can also store the desired configuration in the database based on authenticating the user. When the VM reboots at a future time, the attribute can cause the VM to enter BIOS setup. The agent can be notified and can retrieve the desired configuration from a database using an identifier for the VM. Then the agent can apply the desired configuration to the VM during BIOS setup with a system process that does not require further user authentication.

Abstract: Examples described herein include systems and methods for setting virtual machines (“VMs”) to desired configurations while the virtual machines are running. In one example, a user can select a VM and a desired configuration. An agent can then set an attribute of the virtual machine to indicate that on guest operation system (“OS”) reboot of the VM, the VM will enter BIOS mode. The agent can also store the desired configuration in the database based on authenticating the user. When the VM reboots at a future time, the attribute can cause the VM to enter BIOS setup. The agent can be notified and can retrieve the desired configuration from a database using an identifier for the VM. Then the agent can apply the desired configuration to the VM during BIOS setup with a system process that does not require further user authentication.

Abstract: The current document is directed a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing-facilities based on attribute values associated with the needed resources, the resource providers, and the resource consumers. The resource-exchange system monitors and controls resource exchanges on behalf of participants in the resource-exchange system in order to optimize resource usage within participant data centers and computing facilities.

Abstract: The current document is directed to a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing-facilities based on attribute values associated with the needed resources, the resource providers, and the resource consumers. The resource-exchange system organizes and tracks operations related to a resource exchange using a resource-exchange context.

Abstract: The current document is directed a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search-based auction methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing facilities. In one implementation, resource-provider computing facilities automatically generate hosting fees for hosting computational-resources-consuming entities on behalf of resource-consumer computing facilities that are included in bid-response messages returned by the resource-provider computing facilities in response to receiving bid-request messages. In another implementation, a cloud-exchange system automatically generates hosting fees on behalf of resource-provider computing facilities.

Abstract: The current document is directed a resource-exchange system that facilitates resource exchange and sharing among computing facilities. The currently disclosed methods and systems employ efficient, distributed-search methods and subsystems within distributed computer systems that include large numbers of geographically distributed data centers to locate resource-provider computing facilities that match the resource needs of resource-consumer computing-facilities based on attribute values associated with the needed resources, the resource providers, and the resource consumers. The resource-exchange system monitors and controls resource exchanges on behalf of participants in the resource-exchange system in order to optimize resource usage within participant data centers and computing facilities.

Abstract: User profiles of remote desktops are managed in a crash-consistent manner. When a user logs into a remote desktop, metadata of the user profile is loaded from persistent storage while registry settings and files of the user profile are loaded asynchronously with respect to the login. During the remote desktop session, snapshots of the remote desktop image in persistent storage are generated periodically, and a change log that indicates changes to the user profile is created therefrom. The user profile stored in persistent storage is updated lazily using the change log at opportunistic times after snapshot generation. When the user logs out of the remote desktop, the user profile stored in the persistent storage is updated with any additional changes to the user profile by extracting the changes from the copy-on-write cache associated with the most recent snapshot.

Abstract: In one embodiment, a method includes establishing a session to a remote desktop determined for a user of a client device. The session allows the client device to remotely access the remote desktop to have one or more services performed for the user of the client device using resources of the remote desktop. The client device sends a request for a service in the one or more services to be performed on the remote desktop in the session and receives a result set determined from the service being performed by the remote desktop. A native viewer for the client device is determined based on a type of the result set. The native viewer is then invoked to display the result set.