A method (100) for installing a software package (38) on at least one computer (18) in which the software package has a container-based architecture and including a set (32) of containers (34) includes: providing a user interface (UI) (28) via which a use specification (30) is received from a user; identifying a subset of the set of containers based at least in part on comparing the received use specification with descriptors of the containers of the set of containers; computing resource requirements for the containers of the subset; and displaying at least one of (i) a list (36) of the containers of the subset and (ii) the computing resource requirements for the containers of the subset.

A system-on-a-chip sharing a graphics processing unit supporting multi-master is provided. A system on chip (SoC) comprises a plurality of central processing units (CPUs) for executing at least one operating system, a graphics processing unit (GPU) that is connected to each of the plurality of CPUs via a bus interface and communicates with each of the plurality of CPUs, and at least one state monitoring device that is selectively connected to at least one CPU among the plurality of CPUs and transmits execution state information of at least one operating system executed in the connected CPU to the GPU. The GPU is shared by at least one operating system and controls a sharing operation by the at least one operating system based on the execution state information of the at least one operating system.

Described embodiments provide systems and methods for detection of the degradation of a virtual desktop environment. A computing device may receive data from a plurality of client devices. The computing device may identify a subset of client devices from the plurality of client devices with at least one characteristic in common based on the received data. The computing device may determine a ratio of the identified subset of client devices, the ratio being a comparison of client devices of the subset with a value above a first threshold to a total number of client devices of the subset, and the value being indicative of a characteristic of performance for that client device. The computing device may identify a cause of an anomaly in the performance of the application based on the ratio exceeding a second threshold.

A system can receive information about a first orchestration service that indicates a mapping from an application programming interface (API) to an executable script, and a dependency of the first orchestration service on a second orchestration service. The system can, in response to receiving the information, creating a base container image for the first orchestration service. The system can associate the API with executing the executable script on the base container image. The system can associate the dependency of the first orchestration service on the second orchestration service with the base container image. The system can, in response to receiving data indicative of a request to create an instance of the first orchestration service, creating an instance of the base container image.

A service manages a plurality of virtual machine instances for low latency execution of user codes. The plurality of virtual machine instances can be configured based on a predetermined set of configurations. One or more containers may be created within the virtual machine instances. In response to a request to execute user code, the service identifies a pre-configured virtual machine instance suitable for executing the user code. The service can allocate the identified virtual machine instance to the user, create a new container within an instance already allocated to the user, or re-use a container already created for execution of the user code. When the user code has not been activated for a time-out period, the service can invalidate allocation of the virtual machine instance destroy the container. The time from receiving the request to beginning code execution is less than a predetermined duration, for example, 100 ms.

A cloud computer system is provided that includes a plurality of computer devices and a database. The plurality of computer devices execute a plurality of virtual machines, with one of the virtual machines serving as a controller node and the remainder serving as worker instances. The controller node is programmed to accept a request to initiate a distributed process that includes a plurality of data jobs, determine a number of worker instances to create across the plurality of computer devices, and cause the number of worker instances to be created on the plurality of computer devices. The worker instances are programmed to create a unique message queue for the corresponding worker instance, and store a reference for the unique message queue that was created for the corresponding worker to the database. The controller node retrieves the reference to the unique message queues and posts jobs to the message queues for execution by the worker instances.

Systems for low-latency data access in distributed computing systems. A method embodiment commences upon generating a first storage area in local storage of a first computing node. Access to the first storage area is provided through the first computing node. A second storage area is generated wherein the second storage area comprises a first set of metadata that comprises local storage device locations of at least some of the local storage areas of the first storage area. A set of physical access locations of the second storage area is stored to a database that manages updates to the second set of metadata pertaining to the second storage area. Accesses to the first storage area are accomplished by querying the database to retrieve a location of the second set of metadata, and then accessing the first storage area through one or more additional levels of metadata that are node-wise collocated.

A method for managing specialized hardware resources includes obtaining, by a multi-scheme virtual allocation agent, a request for allocating a plurality of virtual resources to the specialized hardware resources in an information handling system, wherein the request specifies a first scheme of allocation, wherein the information handling system operates in a second scheme of allocation that is different from the first scheme of allocation, in response to the request: installing a first virtual resource of the plurality of virtual resources on a first specialized hardware resource of the specialized hardware resources, performing a dummy virtual resource installation to install a plurality of dummy variables based on the second scheme, installing a second virtual resource of the plurality of virtual resources on a second specialized hardware resource of the specialized hardware resources based on the second scheme, and deleting the plurality of dummy virtual resources from the hardware resources.

A computer-implemented method, medium, and system for upgrade of telco node cluster running cloud-native network functions are disclosed. In one computer-implemented method, a worker node group that includes a plurality of worker nodes is determined in a container orchestration platform. A first node to upgrade is determined within the worker node group. All pods in the first node are deactivated by a high availability as a service (HAaaS) module. Standby pods in a second node are activated by the HAaaS module and as active pods. All network traffic associated with all the pods in the first node is migrated to the active pods. The first node is deleted from the worker node group. Hardware resources associated with running the first node are released. A third node is generated as a new worker node in the worker node group and uses the released hardware resources.

Disclosed are various examples of provisioning a data processing unit (DPU) management operating system (OS). A management hypervisor installer executed on a host device launches or causes a server component to provide a management operating system (OS)installer image at a particular URI accessible over a network internal to the host device. A baseboard management controller (BMC) transfers the DPU management OS installer image to the DPU device. A volatile memory based virtual disk is created using the DPU management OS installer image. The DPU device is booted to a DPU management OS installer on the volatile memory based virtual disk. The DPU management OS installer installs a DPU management operating system to a nonvolatile memory of the DPU device on reboot of the DPU device.