Abstract: Some embodiments provide various methods for offloading operations in an O-RAN (Open Radio Access Network) onto control plane (CP) or edge applications that execute on host computers with hardware accelerators in software defined datacenters (SDDCs). At the CP or edge application operating on a machine executing on a host computer with a hardware accelerator, the method of some embodiments receives data, from an O-RAN E2 unit, to perform an operation. The method uses a driver of the machine to communicate directly with the hardware accelerator to direct the hardware accelerator to perform a set of computations associated with the operation. This driver allows the communication with the hardware accelerator to bypass an intervening set of drivers executing on the host computer between the machine's driver and the hardware accelerator. Through this driver, the application in some embodiments receives the computation results, which it then provides to one or more O-RAN components (e.g.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining target application container configuration data to identify one or more target container base image referenced in the target application container configuration: subjecting script data associated to the one or more target container base image to text based processing for evaluation of security risk associated to the one or more container base image, the script data obtained from at least one candidate hosting computing environment; and selecting a hosting computing environment from the at least one computing environment for hosting the target application container, the selecting in dependence on the text based processing.

Abstract: Example methods are provided to identify unused memory regions in pages that are allocated for storing executable code. One or more of the unused memory regions are usable as a secure location to store confidential information shared between a hypervisor on the host and a guest (such as a guest virtual computing instance) that runs on the host. The one or more unused memory regions may also be used to store executable code (such as valid executable code of antivirus software or other security program) that has been prevented/delayed in its execution by malicious code that has occupied the pages, thereby providing the executable code with sufficient memory resources to enable the executable code to at least partially complete execution.

Abstract: There are provided a cloud management method and a cloud management apparatus for rapidly scheduling arrangements of service resources by considering equal distribution of resources in a large-scale container environment of a distributed collaboration type. The cloud management method according to an embodiment includes: receiving, by a cloud management apparatus, a resource allocation request for a specific service; monitoring, by the cloud management apparatus, available resource current statuses of a plurality of clusters, and selecting a cluster that is able to be allocated a requested resource; calculating, by the cloud management apparatus, a suitable score with respect to each of the selected clusters; and selecting, by the cloud management apparatus, a cluster that is most suitable to the requested resource for executing a requested service from among the selected clusters, based on the respective suitable scores.

Abstract: A method of batch and scheduler migration assesses a batch job, scans it's scheduling mechanism and components, ascertains a quantum change for migrating the batch job to a target batch service and forecasts an assessment statistic that provides at least one functional readiness and a timeline to complete the migration of the batch job. The method generates a transformed batch job structure by breaking the batch job according to the target batch service while retaining the scheduling mechanism. Further, it updates containerized batch service components of the target batch service as per the forecasted assessment statistic and the transformed batch job structure, and migrates the batch job to the target batch service by re-platforming the updated containerized batch service components.

Abstract: Embodiments operate a machine learning (“ML”) notebook in a cloud infrastructure executing a plurality of ML notebooks. Embodiments receive a plurality of previously executed ML notebook feature engineering commands from the plurality of ML notebooks. Embodiments store the plurality of previously executed ML notebook feature engineering commands, including a relationship between the feature engineering commands. Embodiments mine the stored commands to generate feature engineering sets of feature engineering commands, the feature engineering sets comprising feature engineering commands that are frequently used together and an order of use of the feature engineering commands. Embodiments then receive a context of a current feature engineering command and data used in the context and recommend a next feature engineering command to be executed after the current feature engineering command.

Abstract: Live mounting a virtual machine (VM) causes the VM to run off a backup copy or snapshot previously taken of a “live” production VM. The live-mounted VM is generally intended for temporary use such as to validate the integrity and contents of the backup copy for disaster recovery validation, or to access some contents of the backup copy from the live-mounted VM without restoring all backed up files. These uses contemplate that changes occurring during live mount are not preserved after the live-mounted VM expires or is taken down. Thus, live mounting a VM is not a restore operation and usually does not involve access to every block of data in the backup copy. However, live mounting provides live VM service in the cloud sooner than waiting for all of the backup copy/snapshot to be restored.

Abstract: Bitmaps for managing computing resources are described. Example bitmaps described in this application use less memory space by varying the sizes of the nodes in the bitmap's tree structure, and/or by limiting the number of nodes in the bitmap's leaf layer. Other example bitmaps described in this application reduce the time needed to traverse the bitmap by tailoring the search direction according to the bitmap's configuration.

Abstract: A system and method for the storage, within one or more virtual execution context registers, tracing information indicative of process/code flow within a processor system. This stored information can include a time stamp, information indicative of where the instruction pointer of the system was pointing prior to any process discontinuity, information indicative of where the instruction pointer of the system was pointing after any process discontinuity, and the number of times a specific instruction or sub-process is executed during a particular process. The data collected and stored can be utilized within such a system for the identification and analysis of processing hot-spots.

Abstract: The present disclosure generally discloses an event handling capability configured to support handling of events. The event handling capability may be configured to support handling of events in a distributed event handling system, which may use distributed queuing of events, distributed processing of events, and so forth. The distributed event handling system may be serverless cloud system or other type of distributed event handling system. The event handling capability may be configured to support handling of events in a distributed event handling system based on use of a message bus for queuing of events and based on use of hosts for queuing and processing of events.

Abstract: Examples include registering a device driver with an operating system, including registering available hardware offloads. The operating system receives a call to a hardware offload, inserts a binary filter representing the hardware offload into a hardware component and causes the execution of the binary filter by the hardware component when the hardware offload is available, and executes the binary filter in software when the hardware offload is not available.

Abstract: An apparatus to facilitate thread synchronization is disclosed. The apparatus comprises one or more processors to execute a producer thread to generate a plurality of commands, execute a consumer thread to process the plurality of commands and synchronize the producer thread with the consumer thread, including updating a producer fence value upon generation of in-order commands, updating a consumer fence value upon processing of the in-order commands and performing a synchronization operation based on the consumer fence value, wherein the producer fence value and the consumer fence value each correspond to an order position of an in-order command.

Abstract: Aspects of the subject disclosure may include, for example, instantiating a virtual smartphone in a cloud infrastructure, installing a smartphone application on the virtual smartphone, receiving input sensor data from a physical user device, providing the input sensor data to the smartphone application on the virtual smartphone, receiving output data from the smartphone application on the virtual smartphone, and providing the output data to the physical user device. Other embodiments are disclosed.

Abstract: System and computer-implemented method for migrating partial tree structures of virtual disks for virtual computing instances between sites in a computer system uses a compressed trie, which is created from target tree structures of virtual disks at a plurality of target sites in the computer system. For a virtual computing instance selected, the compressed trie is used to find candidate target sites based on a disk chain string of the virtual computing instance. For each candidate target site, a cost value for migrating the virtual computing instance along with a partial source tree structure of virtual disks corresponding to the virtual computing instance from the source site to the candidate target site is calculated to select a target site with a lowest cost value as a migration option to reduce storage resource usage in the computer system.

Abstract: Techniques for a cloud-based workload optimization service to identify customer workloads that are optimized to run on burstable instance types. The techniques include identifying workloads that are successfully running on burstable instance types, and using historical-utilization data for those workloads to train classification models. The optimization service can extract feature data from the historical-utilization data, where the feature data represents utilization characteristics that are indicative of burstable workloads. The feature data is then used to train classification models to receive utilization data for candidate workloads, and determine whether the candidate workloads would be optimized for burstable instance types. The optimization service can then migrate suitable workloads to burstable instance types, and/or provide users with recommendations that their workloads are optimized or suitable for burstable instance types.

Abstract: A system and method to operate applications through positional virtualization technology. The system comprises a server including at least one processor and memory storing a persistent virtual world system comprising a data structure in which at least one virtual replica of at least one corresponding real object is represented, and at least one application run and hosted on at least one virtual machine virtually positioned in a location of the persistent virtual world system. Provisioning of the virtual machines is managed by a virtual machine management system stored in the memory of the server. One or more user devices connected to the servers via a network are configured to access and execute the applications hosted on the virtual machines of the at least one server and to receive resources thereof based on application requirements.

Abstract: Disclosed herein are systems and method efficiently executing a program operation on a cloud-based service. In an exemplary aspect, a method comprises receiving a request to perform a program operation on a cloud-based service and at least one user constraint for performing the program operation, and determining a plurality of sub-operations that are comprised in the program operation. The method comprises identifying a plurality of service component combinations offered by the service provider that can execute the program operation, and identifying, based on a status of each service component, at least one processing constraint of each service component. The method comprises determining, by a machine learning algorithm, a service component combination from the plurality of service component combinations for executing the program operation based on the at least one user constraint and processing constraints. The method comprises executing the program operation by the determined service component combination.

Abstract: An embodiment takes the form of a method carried out by a task-execution device. The task-execution device applies a first local-model update to a local model of the task-execution device. The first local-model update is applied based on a first global-model update to a global model of a global-model repository. The task-execution device generates an execution policy based on (i) a received task request identifying a requested task and (ii) the local model including the first local-model update. The task-execution device executes a performance of the requested task based on the generated execution policy, and obtains an observation of the performance of the requested task. Additionally, the task-execution device applies a second local-model update to the local model based on the obtained observation of the performance of the requested task, and provides the global-model repository with an indication of the second local-model update.

Abstract: Calls run through a virtual desktop infrastructure server are enhanced by opening a media channel between a personal computing device and a media server for a call initiated using a virtual desktop infrastructure server. A first stream of media data for the call is merged with a second stream of media data for the call in a single virtual channel of the protocol using a first packet queue to store packets of the first stream and a second packet queue to store packets of the second stream as the packets await transmission. A first packet of media data of the first stream is pushed into the first packet queue. A fill level of the first packet queue is compared to a first congest threshold associated with the first packet queue. Responsive to the fill level exceeding the first congest threshold, a congestion mitigation measure is invoked.

Abstract: An apparatus comprises a processing device that is configured to obtain a metadata structure corresponding to a workflow automation. The metadata structure defines a first tier comprising individual tasks, a second tier comprising a plurality of workflows each comprising a grouping of the individual tasks and a third tier comprising an orchestration comprising a grouping of the workflows. The processing device is configured to generate a graphical user interface (GUI) based on the metadata structure that is configured to present the plurality of tiers to a user. The GUI comprises a plurality of elements each activatable to enable or disable corresponding individual tasks and workflows. The GUI is presented to a user and an activation of a given element is received from the user. The activation disables the corresponding individual task or workflow for the workflow automation. The workflow automation is executed based at least in part on the activation.