Abstract: Migration rules for a migration engine can be automatically generated using an automated pipeline. In one example, a system can receive first information indicating first characteristics of first software and can receive second information indicating second characteristics of second software. The system can determine a difference between the first characteristics and the second characteristics. The system can then generate a rule for a migration engine based on the difference, the rule including a conditional statement configured for use by the migration engine to detect the difference in relation to a migration process for migrating the first software to the second software. The system can provide the rule for use by the migration engine, to enable the migration engine to detect the difference and responsively generate a notification associated with the difference.

Abstract: Systems, apparatuses, and methods for performing command buffer gang submission are disclosed. A system includes at least first and second processors and a memory. The first processor (e.g., CPU) generates a command buffer and stores the command buffer in the memory. A mechanism is implemented where a granularity of work provided to the second processor (e.g., GPU) is increased which, in turn, increases the opportunities for parallel work. In gang submission mode, the user-mode driver (UMD) specifies a set of multiple queues and command buffers to execute on those multiple queues, and that work is guaranteed to execute as a single unit from the GPU operating system scheduler point of view. Using gang submission, synchronization between command buffers executing on multiple queues in the same submit is safe. This opens up optimization opportunities for application use (explicit gang submission) and for internal driver use (implicit gang submission).

Abstract: Various embodiments of the present invention relate to a method for managing a memory in a Java execution environment, and an electronic device for performing same, and an electronic device may comprise a processor and a memory electrically connected to the processor, wherein: the memory is configured to store multiple Java application programs, and stores instructions that, when executed, cause the processor to execute a virtual machine configured to execute at least one Java application stored in the memory; and when generation of an object is detected during execution of the Java application, the virtual machine executed by the processor generates a reference for the generated object, identifies an application, which has generated the object by a threshold or more, on the basis of the generated reference, and provides information on the identified application to the processor. Other embodiments may also be possible.

Abstract: A workflow resource manager receives a request to execute a workflow in a cloud computing environment. The workflow resource manager determines that a first set of cloud computing resource requirements associated with the first set of operations for the workflow is satisfied by available cloud computing resources, and responsive to determining that a second set of cloud computing resource requirements associated with a subsequent set of operations for the workflow is not satisfied by the available cloud computing resources, rejects the request to execute the workflow.

Abstract: Systems and methods provide an extensible, multi-stage, realtime application program processing load adaptive, manycore data processing architecture shared dynamically among instances of parallelized and pipelined application software programs, according to processing load variations of said programs and their tasks and instances, as well as contractual policies. The invented techniques provide, at the same time, both application software development productivity, through presenting for software a simple, virtual static view of the actually dynamically allocated and assigned processing hardware resources, together with high program runtime performance, through scalable pipelined and parallelized program execution with minimized overhead, as well as high resource efficiency, through adaptively optimized processing resource allocation.

Abstract: A reconfigurable data processor comprises an array of configurable units configurable to allocate a plurality of sets of configurable units in the array to implement respective execution fragments of the data processing operation. Quiesce logic is coupled to configurable units in the array, configurable to respond to a quiesce control signal to quiesce the sets of configurable units in the array on quiesce boundaries of the respective execution fragments, and to forward quiesce ready signals for the respective execution fragments when the corresponding sets of processing units are ready. An array quiesce controller distributes the quiesce control signal to configurable units in the array, and receives quiesce ready signals for the respective execution fragments from the quiesce logic.

Abstract: Embodiments described herein are directed to configuring managed virtual machines. For instance, a management service (e.g., a mobile device manager) may provide configuration settings to a parent virtual machine. Upon successful application of the configuration settings, the parent virtual machine notifies a configuration service that it is in a steady state and provides the configuration settings to the configuration service. The configuration service notifies a cloud-based service (e.g., a virtual desktop service) that it is configured to instantiate virtual machines. The notification informs the cloud-based service that it is permitted to instantiate child virtual machines. Responsive to receiving the notification, the cloud-based service instantiates child virtual machine(s) as needed.

Abstract: Systems, methods, and computer-readable media for annotating process and user information for network flows. In some embodiments, a capturing agent, executing on a first device in a network, can monitor a network flow associated with the first device. The first device can be, for example, a virtual machine, a hypervisor, a server, or a network device. Next, the capturing agent can generate a control flow based on the network flow. The control flow may include metadata that describes the network flow. The capturing agent can then determine which process executing on the first device is associated with the network flow and label the control flow with this information. Finally, the capturing agent can transmit the labeled control flow to a second device, such as a collector, in the network.

Abstract: Virtual machine (VM) proliferation may be reduced through the use of Virtual Server Agents (VSAs) assigned to a group of VM hosts that may determine the availability of a VM to perform a task. Tasks may be assigned to existing VMs instead of creating a new VM to perform the task. Furthermore, a VSA coordinator may determine a grouping of VMs or VM hosts based on one or more factors associated with the VMs or the VM hosts, such as VM type or geographical location of the VM hosts. The VSA coordinator may also assign one or more VSAs to facilitate managing the group of VM hosts. In some embodiments, the VSA coordinators may facilitate load balancing of VSAs during operation, such as during a backup operation, a restore operation, or any other operation between a primary storage system and a secondary storage system.

Abstract: In accordance with some aspects of the present disclosure, an apparatus is disclosed. The apparatus includes a processor and a memory, wherein the memory includes programmed instructions that when executed by the processor, cause the apparatus to receive a request to join a plurality of entity data structures using a first join order, determine a first performance cost of the first join order, determine a second performance cost of a second join order, determine whether the second performance cost is lower than the first performance cost, in response to determining that the second performance cost is lower than or exceeds the first performance cost, select the second join order or the first join order, respectively, join the plurality of entity data structures using the selected join order, and send the joined plurality of entity data structures.

Abstract: Systems, methods, and computer-readable media for annotating process and user information for network flows. In some embodiments, a capturing agent, executing on a first device in a network, can monitor a network flow associated with the first device. The first device can be, for example, a virtual machine, a hypervisor, a server, or a network device. Next, the capturing agent can generate a control flow based on the network flow. The control flow may include metadata that describes the network flow. The capturing agent can then determine which process executing on the first device is associated with the network flow and label the control flow with this information. Finally, the capturing agent can transmit the labeled control flow to a second device, such as a collector, in the network.

Abstract: An apparatus and method for intelligently scheduling threads across a plurality of logical processors. For example, one embodiment of a processor comprises: a plurality of cores; one or more peripheral component interconnects to couple the plurality of cores to memory, and in response to a core configuration command to deactivate a core of the plurality of cores, a region within the memory is updated with an indication of deactivation of the core.

Abstract: A processing device includes an interface and one or more processing circuits. The interface is to connect to a host processor. The one or more processing circuits are to receive from the host processor, via the interface, a notification specifying an operation for execution by the processing device, the operation including (i) multiple tasks that are executable by the network device, and (ii) execution dependencies among the tasks, in response to the notification, to determine a schedule for executing the tasks, the schedule complying with the execution dependencies, and to execute the operation by executing the tasks of the operation in accordance with the schedule.

Abstract: Various embodiments of the present invention relate to a method for managing a memory in a Java execution environment, and an electronic device for performing same, and an electronic device may comprise a processor and a memory electrically connected to the processor, wherein: the memory is configured to store multiple Java application programs, and stores instructions that, when executed, cause the processor to execute a virtual machine configured to execute at least one Java application stored in the memory; and when generation of an object is detected during execution of the Java application, the virtual machine executed by the processor generates a reference for the generated object, identifies an application, which has generated the object by a threshold or more, on the basis of the generated reference, and provides information on the identified application to the processor. Other embodiments may also be possible.

Abstract: A system manages resources based on a hardware transactional memory unit. The system stores a system profile map comprising system profiles of applications. The system profile of an application stores information describing system resource utilization of the application. If a request for resources for executing a new application is received, a hardware transactional memory unit determines an amount of memory to be allocated for executing the new application and allocates memory partitions for executing the new application. The system profile of the new application is compared with system profiles in the system profile map. If there are any indicators of compromise representing potential compromise of the new application the request for resources for the new application is denied. The system generates and uses true random numbers.

Abstract: Application lifecycle management based on real-time resource usage. A first plurality of resource values that quantify real-time computing resources used by a first instance of an application is determined at a first point in time. Based on the first plurality of resource values, one or more utilization values are stored in a profile that corresponds to the application. Subsequent to storing the one or more utilization values in the profile, it is determined that a second instance of the application is to be initiated. The profile is accessed, and the second instance of the application is caused to be initiated on a first computing device utilizing the one or more utilization values identified in the profile.

Abstract: Embodiments of systems and methods for managing compute resources and runtime object load status in a platform framework are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive, at a platform framework via an Application Programming Interface (API), an arbitration policy; notify an application, by the platform framework via the API, of a state change with respect to the arbitration policy based upon a change in context; receive, at the platform framework from the application via the API, an identification of at least one compute resource to execute a workload associated with the arbitration policy; and offload the workload to the compute resource.

Abstract: A method for cloud service includes receiving, by processing circuitry that operates for a cloud service, a request including a first reporting descriptor object including (i) a first variables descriptor object associated with variables, (ii) a first events descriptor object associated with events, and (iii) a reporting interval. The method also includes generating, by the processing circuitry, at a time within the reporting interval, a message including a second reporting descriptor object with (i) a second variables descriptor object having updated values for the variables and (ii) a second events descriptor object associated with a subset of the events. The method also includes sending, by the processing circuitry, the message to a recipient.

Abstract: A computing platform comprising a plurality of disaggregated data center resources and an infrastructure processing unit (IPU), communicatively coupled to the plurality of resources, to compose a platform of the plurality of disaggregated data center resources for allocation of microservices cluster.

Abstract: The present disclosure relates to a baseline monitoring method, apparatus, readable medium, and electronic device. The method includes: determining a plurality of tasks to be monitored in the baseline; determining whether there is a first task to be monitored that has cyclic dependency according to dependencies among the plurality of tasks to be monitored; and determining a task instance to be checked for each of the tasks to be monitored, and for the first task to be monitored that is not a guaranteed task, determining the task instance to be checked for the first task to be monitored according to the cyclic dependency and dependency between the first task to be monitored and its downstream task to be monitored.