Abstract: Mechanisms are provided to implement a multi-layer analytics framework. The multi-layer analytics framework obtains a plurality of analytics from one or more analytics source computing systems, at least two analytics being written in different computer programming languages. The multi-layer analytics framework applies a wrapper to each of the analytics in the plurality of analytics to thereby generate wrapped analytics. The wrapper provides a unified interface for executing the analytics in the plurality of analytics regardless of the particular computer programming language used to create the analytics. The multi-layer analytics framework registers the wrapped analytics in an analytics registry, and executes an analytics pipeline comprising wrapped analytics in the analytics registry to perform an analytics operation based on the unified interface of the wrappers of the wrapped analytics.

Abstract: A remote desktop system includes a primary virtual machine, a plurality of secondary virtual machines, a primary terminal configured to log in to the primary virtual machine, and a secondary terminal configured to log in to a secondary virtual machine. When a user of the primary virtual machine needs to share image data of the primary virtual machine with a user of the secondary terminal for viewing, the primary virtual machine sends the image data to the primary terminal, and then the primary terminal shares the image data with the secondary terminal. This reduces data transmission pressure on a communications network between a virtual machine center and a terminal center.

Abstract: Technology is described for a checkpoint service for code function checkpoints associated with instances of code functions executed by a computing hub in a local area network. Subsequent to the execution of a code function being suspended by the computing hub, the computing hub may generate a code function checkpoint describing the execution of the code function. The computing hub may persist the code function checkpoint to storage using a checkpoint service. The computing hub may create the code function checkpoint in response to monitoring metrics associated with the computing hub, such as processor overutilization. The computing hub may resume the execution of the code function at a later time using the code function checkpoint retrieved from the checkpoint service.

Abstract: Coordinating scheduled events and aperiodic events to execute objects to extract, transform, and load data from source systems to a structured data store. An event manager process executing on a server runtime utilizes event suspension, consolidation, and sequencing techniques to ensure that only one event process is executed for a particular time range.

Abstract: Systems, methods, and computer-readable media for migrating an application container between nodes in a network are disclosed. An interest for an application container may be received by an origin node and, in response, the origin node may transfer a copy of the application container over the network and to a destination node. The origin node can then shut down the application container and transmit any remaining container state and received requests to the destination node. The destination node may then update a routing plane for the network to provide delivery of service requests to the migrated application.

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: A computer-implemented method at a data management system comprises: generating, with one or more processors, a containerized runtime in a memory in communication with the one or more processors; instantiating, with the one or more processors, an app in the runtime; receiving, with the one or more processors, a request from the app for data; retrieving, with the one or more processors, a copy of the requested data from a data source; and transmitting, with the one or more processors, the data to the containerized runtime for the app to operate on.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for virtualizing storage resources on non-volatile memory in a way that enables virtual machines on a computing device to efficiently access computing resources across multiple partitions of multiple non-volatile memory devices. For example, systems disclosed herein facilitate establishing a binding (e.g., a physical function, such as a single root input/output virtualization (SR-IOV) or a multi-physical function (MPF)) between the virtual machine(s) and solid state drive (SSD) devices. The systems disclosed herein further involve using a virtual volume manager on an operating system of the virtual machine(s) to implement features and functionality of the virtual machine(s) in accordance with configuration data unique to the virtual machine(s).

Abstract: A method for managing composed information handling systems includes obtaining a composition request for a composed information handling system, making a first determination that a first information handling system is not capable of servicing the composition request local, and based on the first determination: allocating, an available resource on the first information handling system to the composed information handling system, sending a resource allocation request to a system control processor manager for access to an additional resource, obtain, in response to the allocation request, a notification for access to a second information handling system of the information handling systems that provides the available resource, setting up management services for available resource and the additional resource to obtain logical hardware resources, and presenting the logical hardware resources to at least one compute resource set as bare metal resources.

Abstract: Routing containerized services requests on a serverless platform can include responding to receiving on the serverless platform a request for a containerized service and detecting a potential request failure. The response to the potential request failure can include searching a database that maps version-specific requests to a plurality of containers that are configured and managed by the serverless platform. The routing can include redirecting the request to a container containing a prior version of the containerized service requested in response to determining that the prior version of the containerized service maps to a version-specific request that matches the request received.

Abstract: Disclosed herein are embodiments for committing changes of an image of a virtual machine-based container running on a host computer system. A starting image for a container is obtained from a guest starting folder, and while the container runs the starting image changes to the image made by the running container are captured in a guest folder that is union mounted with the guest starting folder. Another union folder, which is the union of a new host folder and the starting folder, contains the changed image which can be used for the container or transferred to a different container.

Abstract: Systems and methods for encryption support for virtual machines. An example method may comprise initializing, by a firmware module associated with a virtual machine running on a host computer system, an exclusion range register associated with the virtual machine with a value specifying a first portion of guest memory, wherein the first portion of the guest memory comprises an exclusion range marked as reserved; encrypting, by the firmware using an ephemeral encryption key, a second portion of the guest memory; booting, by a hypervisor of the host computer system, the virtual machine; and responsive to intercepting, by the hypervisor, a privileged instruction executed by the virtual machine, performing at least one of: copying data for performing the privileged instruction to the first portion of the guest memory or copying data for performing the privileged instruction from the first portion of the guest memory.

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: Examples are disclosed that relate to processing files between a local network and a cloud computing service. One example provides a computing device configured to be located between a local network and a cloud computing service, comprising a logic machine and a storage machine comprising instructions executable to receive, from a device within the local network, a file at a local share of the computing device, and in response to receiving the file, generate a file event indicating receipt of the file at the local share and provide the file event to a virtual machine executing on the computing device. The instructions are further executable to, based upon a property of the file, provide the file to a program operating within a container in the virtual machine to process the file, and send a result of executing the program on the file to the cloud computing service.

Abstract: Embodiments of the disclosure provide systems and methods accessing a storage device of a host machine. The method can include: receiving, via a first guest flash translation layer (FTL) instance, a first request for accessing the storage device from a first virtual machine running on a host machine, wherein the first request comprises a first physical address of the storage device; transmitting, via the first FTL instance, the first request to a host FTL driver; converting, via the host FTL driver, the first request into a first hardware command; transmitting, via the host FTL driver, the first hardware command to the storage device; and executing, via the solid state drive, the first hardware command.

Abstract: Upon receiving a request to hibernate a hypervisor of a virtualization system running on a first computer, acts are carried out to capture a state of the hypervisor, where the state of the hypervisor comprises hypervisor logical resource parameters and an execution state of the hypervisor. After hibernating the hypervisor by quiescing the hypervisor and storing the state of the hypervisor into a data structure, the data structure is moved to a different location. At a later moment in time, the data structure is loaded onto a second computing machine and restored. The restore operation restores the hypervisor and all of its state, including all of the virtual machines of the hypervisor as well as all of the virtual disks and other virtual devices of the virtual machines. Differences between the first computing machine and the second computing machine are reconciled before execution of the hypervisor on the second machine.

Abstract: Various aspects are disclosed for unified resource management of containers and virtual machines. A podVM resource configuration for a pod virtual machine (podVM) is determined using container configurations. The podVM comprising a virtual machine (VM) that provides resource isolation for a pod based on the podVM resource configuration. A host selection for the podVM is received from a VM scheduler. The host selection identifies hardware resources for the podVM. A container scheduler is limited to bind the podVM to a node corresponding to the hardware resources of the host selection from the VM scheduler. The podVM is created in a host corresponding to the host selection. Containers are started within the podVM. The containers correspond to the container configurations.

Abstract: There is provided a data processing apparatus that includes processing circuitry for executing instructions relating to an active virtual processor in a plurality of virtual processors. Exception control circuitry receives an external exception associated with a target virtual processor in the plurality of virtual processors and when the target virtual processor is other than the active virtual processor, it issues a doorbell exception to cause a scheduling operation to schedule the target virtual processor to be the active virtual processor. Storage circuitry stores an indication of a set of masked virtual processors and the scheduling operation is adapted to disregard doorbell exceptions in respect of the set of masked virtual processors.

Abstract: Methods, apparatus, systems, and articles of manufacture for allocating a workload to an accelerator using machine learning are disclosed. An example apparatus includes a workload attribute determiner to identify a first attribute of a first workload and a second attribute of a second workload. An accelerator selection processor causes at least a portion of the first workload to be executed by at least two accelerators, accesses respective performance metrics corresponding to execution of the first workload by the at least two accelerators, and selects a first accelerator of the at least two accelerators based on the performance metrics. A neural network trainer trains a machine learning model based on an association between the first accelerator and the first attribute of the first workload. A neural network processor processes, using the machine learning model, the second attribute to select one of the at least two accelerators to execute the second workload.

Abstract: A method of enhancing security in object based datastores is provided. The method mounts first and second datastores identified, respectively, by first and second datastore identifiers. The first and second datastores include, respectively, first and second namespace objects that are mapped to first and second subfolders in the first and second datastores. A first file within the first subfolder references a first object via a first object identifier, while a second file within the second subfolder references a second object via a second object identifier. The first and second objects are tagged with the first and second datastores' identifiers. The first and second datastores share an underlying storage and may be configured to have separate access permissions. The method receives a command to access the first object via a datastore identifier, compares the datastore identifier with the first datastore identifier, and if they match, allows access to the first object.