Abstract: A data management system comprises: a storage appliance configured to store a snapshot of a virtual machine; and one or more processors in communication with the storage appliance. The one or more processors are configured to perform operations including: identifying a plurality of shards of the virtual machine; requesting a snapshot of each of the plurality of shards; receiving the shards asynchronously; ordering the received snapshot shards sequentially into a results queue; and storing a single snapshot of the virtual machine based on the ordered snapshot shards. Operations may further include maintaining a flow control queue that limits the number of snapshot shards requested.

Abstract: A mapping method for a reconfigurable array, including: Si obtaining and analyzing a DDG; providing an initial interval; obtaining a reconfigurable architecture; copying the first adjacency matrix and the second adjacency matrix to form a mapping space; establishing an integer linear programming model, and mapping, with the integer linear programming model, a processing vertex, an intra-cycle edge, and an inter-cycle edge in the DDG, to the mapping space, respectively; obtaining a mapping relationship from the processing vertex and the edge in the DDG to the processing element and the link of extended TS_max layers; and generating configuration information by the mapping relationship modulo the initial interval.

Abstract: A control system (10) includes, for each type of Virtual Network Function (VNF), a VNF compatibility condition indicating a condition of allocation of resources by which the VNF corresponding to the type is allowed to coexist with other VNFs in an identical computer, and resource usage information indicating resources in use by the VNF in the computer and unused resources. The control system (10) includes a VNF deploy control unit (14) referencing, in a case of receiving an instruction to additionally install a VNF, the type of the VNF to be additionally installed, the VNF compatibility condition, and the resource usage information to determine, from among the unused resources, resources allocated to the VNF to be additionally installed, and a resource allocation processing unit allocating the determined resources to the VNF to be additionally installed.

Abstract: The disclosed technology teaches tuning containers in pods, in a high availability environment that runs two or more pods to implement a service, while the containers are running, including instrumenting a tunable container to communicate application metrics to a tuning engine that runs in a pod and maintains current configuration state information for the container. The tuning engine accesses the application metrics and a rule that specifies tuning of resource configuration for the container. The rule combines variables in the metrics to determine whether an update should be applied to the container. The tuning engine determines a new resource configuration for the tunable container and updates the configuration state information for the container according to the new configuration. An update manager detects updating of the configuration state information and performs a rolling update of instances of the tunable container in the pods that implement the service.

Abstract: A method for evaluating metrics associated with isolated execution environments utilized for synthetic monitoring of a web application and modifying the quantity of isolation execution environments hosted by a particular hosting service at a particular geographic location based on the metrics. The method can include receiving an instruction to monitor computing resources at the particular geographic location; obtaining configuration data for the particular geographic location; communicating a request to the particular hosting provider for an identification of a collection of isolated execution environments that are instantiated at the particular geographic location; obtaining metrics associated with the collection of isolated execution environments; evaluating the metrics against the set of scaling criteria; and/or generating an instruction for the particular hosting provider to modify the quantity of the collection of isolated execution environments.

Abstract: This disclosure relates to a system and method to autonomously manage hybrid IT infrastructure. An end-to-end, integrated, and autonomous IT infrastructure is suggested to offload the repetitive business as usual (BAU) operational tasks, thereby reducing operational cost, noise, and chaos, improve resiliency, thus improving availability of the business. The autonomous IT infrastructure leads to bring in efficiency to customer business, to reduce incident reduction, optimize cost and to provide insight into any future IT infrastructure need. Herein, one or more key characteristics that make the IT infrastructure autonomous includes auto sensing an environment of the infrastructure, learning the infrastructure behavior, predicting one or more events, determining a course of action, and performing one or more actions with minimal or no human intervention.

Abstract: In one set of embodiments, a hypervisor of a host system can determine that a delta between local and remote memory access latencies for each of a subset of NUMA nodes of the host system is less than a threshold. In response, the hypervisor can enable page sharing across the subset of NUMA nodes, where enabling page sharing comprises associating the subset of NUMA nodes with a single page sharing table, and where the single page sharing table holds entries identifying host physical memory pages of the host system that are shared by virtual machines (VMs) placed on the subset of NUMA nodes.

Abstract: A method and/or apparatus for creating and/or editing a machine pool with bring your own machine (BYOM) includes creating and/or editing a machine pool with a static list of machines. A user input machine list and an existing machine list are retrieved, and the user input machine list and existing machine list are compared to identify one or more changes between the user input machine list and existing machine list. Next, a new machine specification is created when the one or more changes between the user input machine list and existing machine list are identified. The one or more machines are then moved to the new machine specification.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate modernization of an application are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a determination component that determines one or more relevant surrounding contexts for a raw entity. The computer executable components also can comprise a matching component that matches the one or more relevant surrounding contexts with one or more known surrounding contexts of one or more known entities. The computer executable components further can comprise a type identification component that identifies an entity type for the raw entity based on the matching of the one or more relevant surrounding contexts with the one or more known surrounding contexts.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: execute a first application within a first operating system (OS) virtualization on a first information handling system (IHS); suspend the first application at a point of execution; determine one or more statuses associated with the first application, in which the one or more statuses includes the point of execution where the first application was suspended; provide the one or more statuses to a second IHS; configure a second application and a second OS virtualization with the one or more statuses associated with the first application within the first OS virtualization; establish input/output associated with the second application with one or more components of the first IHS via the network; and execute the second application within the second OS virtualization on the second IHS at the point of execution.

Abstract: A method for deploying product applications within virtual machines onto on-premises and public cloud infrastructures. Specifically, the disclosed method proposes a migration scheme of virtual machine images (configured at least with product applications and guest operating systems) from an on-premises infrastructure to a public cloud infrastructure. Further, the migration scheme considers two workflows—a normal workflow contingent on the public cloud infrastructure having up-to-date support for the guest operating systems; and an exception workflow contingent on the public cloud infrastructure lacking up-to-date support for the guest operating systems.

Abstract: Systems and methods for memory management for nested virtual machines. An example method may comprise running, by a host computer system, a Level 0 hypervisor managing a Level 1 virtual machine running a Level 1 hypervisor, wherein the Level 1 hypervisor manages a Level 2 virtual machine, wherein the Level 2 virtual machine is associated with a Peripheral Component Interconnect (PCI) device; generating, by the Level 0 hypervisor, a Level 1 page table by combining records from the guest page table with records from a host page table maintained by the Level 0 hypervisor; generating a Level 2 page table comprising a plurality of Level 2 page table entries; and causing a device driver of the Level 2 virtual machine to use the Level 2 page table for second level address translation.

Abstract: An electronic device according to various embodiments may comprise: a touch-responsive display; a wireless communication circuit configured to transmit/receive a radio signal; a processor operatively connected to the wireless communication circuit and the display; and a memory operatively connected to the processor.

Abstract: Hot restart of a hypervisor by replacing a running first hypervisor by a second hypervisor with minimally perceptible downtime to guest partitions. A first hypervisor is executed on a computing system. The first hypervisor is configured to create one or more guest partitions. During the hot restart, a service partition is generated and initialized with a second hypervisor. At least a portion of runtime state of the first hypervisor is migrated and synchronized to the second hypervisor using inverse hypercalls. After the synchronization, the second hypervisor is devirtualized from the service partition to replace the first hypervisor. Devirtualizing includes transferring control of hardware resources from the first hypervisor to the second hypervisor, using the previously migrated and synchronized runtime state.

Abstract: Methods and systems are disclosed for automated semantic tagging that include detecting a particular thread executed by a processor and identifying a root process of the particular thread. An object-process link may be by linking an object that executed code that called the particular thread to the root process. A thread list of thread definitions of the object may be identified. A particular thread definition that corresponds to the particular thread can be mapped. Resource types to be consumed upon executing an instance of the thread instantiated from the particular thread definition can be identified and the corresponding values of the resource types can be determined. A process specification can be generated that encapsulates the thread definition, resource types and values so as to reproduce a state of the root process at a point in which the particular thread executed.

Abstract: Systems, apparatuses and methods may provide for technology that dynamically tunes platform features based on virtual machine runtime requirements. In one example, a first virtual machine and a second virtual machine of a cloud server platform may each be associated with one or more logical cores. The first virtual machine may have a first configuration to efficiently support a first feature setting arrangement on the associated logical cores. The second virtual machine may have a different second configuration to efficiently support a different second feature setting arrangement on the different associated logical cores. Feature settings that are specific to an application associated with a virtual machine may be determined based on application runtime requirements. Such determined feature settings may be stored as a bit mask in control fields of a virtual machine control and enforced on the logical cores associated with a given virtual machine.

Abstract: Disclosed are various embodiments for creating and managing virtual appliances. A command to create a virtual machine image for a hosted instance of an application image is received. The virtual machine image is created in response to receiving the command. The virtual machine image can include an operating system; a container orchestration service configured to host the instance of the application image; and a configuration service. The configuration service can be configured to at least install a management agent in response to a first boot of the virtual machine and configure the management agent to download and install the application image.

Abstract: Host systems for resuming operation of a virtual compute instance may be identified that support features enabled for the virtual compute instance. Virtual compute instance features may be enabled at runtime prior to a virtual compute instance being stopped. When a virtual compute instance is started again, these features may be used to identify a host system that supports at least these features so that when the virtual compute instance resumes operation on the identified host, the features can be enabled.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: A method includes: acquiring a set of operations to be performed on multiple computing units in the computing system; determining, based on the set of operations, the state of the multiple computing units, and an allocation model, an allocation action for allocating the set of operations to the multiple computing units and a reward for the allocation action, wherein the allocation model describes an association relationship among a set of operations, the state of multiple computing units, the allocation action for allocating the set of operations to the multiple computing units, and the reward for the allocation action; receiving an adjustment for the reward in response to determining that a match degree between the reward for the allocation action and a performance index of the computing system after the allocation action is performed satisfies a predetermined condition; and generating, based on the adjustment, training data for updating the allocation model.