Abstract: A method may include providing an amount of first data and increasing the amount of first data until a first network component fails. The method may include determining first failure data associated with the failure of the first network component. The method may include providing an amount of second data and increasing the amount of second data until a second network component fail. The method may include determining second failure data associated with the failure of the second network component. The method may include generating synthetic data. The method may include providing the synthetic data such that one or more network components fail. The method may include determining third failure data associated with the failure of the network component and the synthetic data. The method may include generating the network parameters based at least in part on the third failure data.

Abstract: The present disclosure provides a system for inspection of a surface of an aerodynamic structure in one aspect. The system includes a track overlapping with a section of the surface, one or more vehicles constrained to travel along the track, and one or more image sensors disposed on the one or more vehicles. The one or more image sensors are configured to acquire one or more images of the surface used to identify one or more predicted defects of the surface. The system further includes one or more tactile sensors disposed on the one or more vehicles. The one or more tactile sensors are configured to acquire dimensioning information for the one or more predicted defects.

Abstract: An example embodiment includes a system. The system includes at least one light source, a photosensor, an optical window, an elastomer with an outer face, and an opaque material. The opaque material partially covers the outer face of the elastomer. First emission light, emitted by the at least one light source, passes through at least a portion of the optical window and interacts with the opaque material to produce a first interaction light. The photosensor receives at least part of the first interaction light to form a first image. An object applying a first pressure to the elastomer produces an indented region that affects an amount or a direction of first interaction light received by photosensor. The first image indicates one or more features of the object.

Abstract: A method may include providing an amount of first data and increasing the amount of first data until a first network component fails. The method may include determining first failure data associated with the failure of the first network component. The method may include providing an amount of second data and increasing the amount of second data until a second network component fail. The method may include determining second failure data associated with the failure of the second network component. The method may include generating synthetic data. The method may include providing the synthetic data such that one or more network components fail. The method may include determining third failure data associated with the failure of the network component and the synthetic data. The method may include generating the network parameters based at least in part on the third failure data.

Abstract: A method may include accessing data associated with a failure of a 5G network component. The method may include providing the data associated with the failure of the 5G network component to a first machine learning model, configured to determine and output data indicating a root cause of the failure. The method may include providing data indicating the root cause of the failure to a second machine learning model, configured to determine and output data indicating one or more service providers and respective destinations associated with the root cause. The method may include generating a service ticket may include data indicating the root cause and the respective destinations associated with the root cause. The method may include transmitting the service ticket to the respective destinations of the one or more service providers associated with the root cause of the failure.

Abstract: A method may include accessing event data corresponding to an event affecting a region covered by a 5G network including a plurality of network components. The method may include accessing user data corresponding to a user equipment within the region covered by the 5G network. The method may include generating, using a machine learning model, an expected network load. The method may include accessing, a dynamic threshold associated with the 5G network. The dynamic threshold may include one or more limits associated with the plurality of network components. The method may include determining that the expected network load will cause the 5G network to exceed at least one limit of the dynamic threshold. In response to determining that the expected network load will exceed the limit, the method may include generating a new network component in the 5G network based at least in part on the expected network load.

Abstract: Described herein are systems and methods that manage machine backups, including the creation of virtual machine packages sufficient to instantiate virtual machines corresponding to the backups. In one aspect, a compute infrastructure includes many machines, which may be either physical or virtual. From time to time, snapshots of the states of these target machines are pulled and saved. Virtual machine packages corresponding to these snapshots are also created. A virtual machine package can be used to instantiate a virtual machine (VM) emulating the target machine with the saved state on a destination virtual machine platform. At some point, the initial VM package for a target machine is created by converting the snapshot to a VM package. However, this may take a long time. Later VM packages can instead be created by updating a prior VM package according to differences between the corresponding snapshots, rather than performing the full conversion process.

Abstract: Described herein are systems and methods that manage machine backups, including the creation of virtual machine packages sufficient to instantiate virtual machines corresponding to the backups. In one aspect, a compute infrastructure includes many machines, which may be either physical or virtual. From time to time, snapshots of the states of these target machines are pulled and saved. Virtual machine packages corresponding to these snapshots are also created. A virtual machine package can be used to instantiate a virtual machine (VM) emulating the target machine with the saved state on a destination virtual machine platform. At some point, the initial VM package for a target machine is created by converting the snapshot to a VM package. However, this may take a long time. Later VM packages can instead be created by updating a prior VM package according to differences between the corresponding snapshots, rather than performing the full conversion process.

Abstract: Described herein are systems and methods that manage machine backups, including the creation of virtual machine packages sufficient to instantiate virtual machines corresponding to the backups. In one aspect, a compute infrastructure includes many machines, which may be either physical or virtual. From time to time, snapshots of the states of these target machines are pulled and saved. Virtual machine packages corresponding to these snapshots are also created. A virtual machine package can be used to instantiate a virtual machine (VM) emulating the target machine with the saved state on a destination virtual machine platform. At some point, the initial VM package for a target machine is created by converting the snapshot to a VM package. However, this may take a long time. Later VM packages can instead be created by updating a prior VM package according to differences between the corresponding snapshots, rather than performing the full conversion process.

Abstract: In some examples, a method for operating a data management system comprises acquiring a first full image snapshot and a set of incremental files corresponding with different point in time versions of a virtual machine. The method detects that a combined data size for expired snapshots within an archival data source has exceeded a threshold data size in response to detecting that the archival data source does not have access to compute resources. The method determines that a second full image snapshot should be transferred to the archival data source in response to detecting that the combined data size for the expired snapshots within the archival data source has exceeded the threshold data size. A second full image snapshot is generated using the first full image snapshot and one or more of the incremental files and transferred to the archival data source.

Abstract: Methods and systems for reclaiming disk space via consolidation and deletion of expired snapshots are described. The expired snapshots may comprise snapshots of a virtual machine that are no longer required to be stored within a data storage domain (e.g., a cluster of data storage nodes or a cloud-based data store). In some cases, rather than storing an incremental file corresponding with a particular snapshot of the virtual machine, a full image of the particular snapshot may be generated and stored within the data storage domain. The generation of the full image may allow a chain of dependencies supporting the expired snapshots to be broken and for the expired snapshots to be deleted or consolidated. The full image of the particular snapshot may be generated using compute capacity in the cloud or may be generated locally by a storage appliance and uploaded to the data storage domain.

Abstract: Methods and systems for efficiently downloading archived snapshot data from the cloud or from an archival data store are described. In a disaster recovery scenario in which an entire storage appliance for backing up different point in time versions of a virtual machine has failed (e.g., due to a fire), archived snapshot data for the different point in time versions may be acquired by a second storage appliance from an archival data store (e.g., cloud-based data storage) using one or more snapshot mapping files. A snapshot mapping file may include pointers to a plurality of data blocks within the archival data store for generating a full image snapshot associated with a particular point in time version of the virtual machine. The plurality of data blocks may comprise the minimum number of data blocks necessary to construct the particular point in time version of the virtual machine.

Abstract: Methods and systems for reclaiming disk space via consolidation and deletion of expired snapshots are described. The expired snapshots may comprise snapshots of a virtual machine that are no longer required to be stored within a data storage domain (e.g., a cluster of data storage nodes or a cloud-based data store). In some cases, rather than storing an incremental file corresponding with a particular snapshot of the virtual machine, a full image of the particular snapshot may be generated and stored within the data storage domain. The generation of the full image may allow a chain of dependencies supporting the expired snapshots to be broken and for the expired snapshots to be deleted or consolidated. The full image of the particular snapshot may be generated using compute capacity in the cloud or may be generated locally by a storage appliance and uploaded to the data storage domain.

Abstract: In some examples, a method for operating a data management system comprises acquiring a first full image snapshot and a set of incremental files corresponding with different point in time versions of a virtual machine. The method detects that a combined data size for expired snapshots within an archival data source has exceeded a threshold data size in response to detecting that the archival data source does not have access to compute resources. The method determines that a second full image snapshot should be transferred to the archival data source in response to detecting that the combined data size for the expired snapshots within the archival data source has exceeded the threshold data size. A second full image snapshot is generated using the first full image snapshot and one or more of the incremental files and transferred to the archival data source.

Abstract: Methods and systems for reclaiming disk space via consolidation and deletion of expired snapshots are described. The expired snapshots may comprise snapshots of a virtual machine that are no longer required to be stored within a data storage domain (e.g., a cluster of data storage nodes or a cloud-based data store). In some cases, rather than storing an incremental file corresponding with a particular snapshot of the virtual machine, a full image of the particular snapshot may be generated and stored within the data storage domain. The generation of the full image may allow a chain of dependencies supporting the expired snapshots to be broken and for the expired snapshots to be deleted or consolidated. The full image of the particular snapshot may be generated using compute capacity in the cloud or may be generated locally by a storage appliance and uploaded to the data storage domain.

Abstract: Methods and systems for reclaiming disk space via consolidation and deletion of expired snapshots are described. The expired snapshots may comprise snapshots of a virtual machine that are no longer required to be stored within a data storage domain (e.g., a cluster of data storage nodes or a cloud-based data store). In some cases, rather than storing an incremental file corresponding with a particular snapshot of the virtual machine, a full image of the particular snapshot may be generated and stored within the data storage domain. The generation of the full image may allow a chain of dependencies supporting the expired snapshots to be broken and for the expired snapshots to be deleted or consolidated. The full image of the particular snapshot may be generated using compute capacity in the cloud or may be generated locally by a storage appliance and uploaded to the data storage domain.

Abstract: Described herein are systems and methods that manage machine backups, including the creation of virtual machine packages sufficient to instantiate virtual machines corresponding to the backups. In one aspect, a compute infrastructure includes many machines, which may be either physical or virtual. From time to time, snapshots of the states of these target machines are pulled and saved. Virtual machine packages corresponding to these snapshots are also created. A virtual machine package can be used to instantiate a virtual machine (VM) emulating the target machine with the saved state on a destination virtual machine platform. At some point, the initial VM package for a target machine is created by converting the snapshot to a VM package. However, this may take a long time. Later VM packages can instead be created by updating a prior VM package according to differences between the corresponding snapshots, rather than performing the full conversion process.

Abstract: Methods and systems for efficiently downloading archived snapshot data from the cloud or from an archival data store are described. In a disaster recovery scenario in which an entire storage appliance for backing up different point in time versions of a virtual machine has failed (e.g., due to a fire), archived snapshot data for the different point in time versions may be acquired by a second storage appliance from an archival data store (e.g., cloud-based data storage) using one or more snapshot mapping files. A snapshot mapping file may include pointers to a plurality of data blocks within the archival data store for generating a full image snapshot associated with a particular point in time version of the virtual machine. The plurality of data blocks may comprise the minimum number of data blocks necessary to construct the particular point in time version of the virtual machine.

Abstract: Methods and systems for reclaiming disk space via consolidation and deletion of expired snapshots are described. The expired snapshots may comprise snapshots of a virtual machine that are no longer required to be stored within a data storage domain (e.g., a cluster of data storage nodes or a cloud-based data store). In some cases, rather than storing an incremental file corresponding with a particular snapshot of the virtual machine, a full image of the particular snapshot may be generated and stored within the data storage domain. The generation of the full image may allow a chain of dependencies supporting the expired snapshots to be broken and for the expired snapshots to be deleted or consolidated. The full image of the particular snapshot may be generated using compute capacity in the cloud or may be generated locally by a storage appliance and uploaded to the data storage domain.

Abstract: Methods and systems for reclaiming disk space via consolidation and deletion of expired snapshots are described. The expired snapshots may comprise snapshots of a virtual machine that are no longer required to be stored within a data storage domain (e.g., a cluster of data storage nodes or a cloud-based data store). In some cases, rather than storing an incremental file corresponding with a particular snapshot of the virtual machine, a full image of the particular snapshot may be generated and stored within the data storage domain. The generation of the full image may allow a chain of dependencies supporting the expired snapshots to be broken and for the expired snapshots to be deleted or consolidated. The full image of the particular snapshot may be generated using compute capacity in the cloud or may be generated locally by a storage appliance and uploaded to the data storage domain.