21 results about "Name space" patented technology

A data processing system implements receiving, at a file system filter, a request to access a file information associated with a file from a requesting application on a user device; determining that neither a copy of the file or a placeholder file are available on the user device; accessing file mapping information from a file mapping datastore to determine whether a path associated with the file is within a namespace under control of the cloud file provider, the filename information, or both the path information and the filename information associated with the files; obtaining content associated with the file from the cloud file provider based on the file mapping information responsive to the path associated with the file being within the namespace under control of the cloud file provider; and providing the content associated with the file to the requesting application.

A system includes a memory device and a processing device, operatively coupled with the memory device, to perform operations including: receiving a request to modify one or more regions of the memory device; identifying one or more mapping structures associated with each region of the one or more regions of the memory device; determining that a counter satisfies a threshold criterion, wherein the counter indicates a number of memory access commands at the one or more regions; creating a copy of each mapping structure associated with each region; and modifying the copy of each mapping structure according to the request to modify the one or more regions of the memory device.

Randomly sending transactions across an interface can lead to idle interfaces and generally inefficient operations. Re-ordering transactions or data packets involves potentially changing the order of packet transmission to host devices. The re-ordering can ensure that each interface between a host device and the data storage device is saturated. The saturation is achieved by the re-ordering so that packet transmission is balanced across the interfaces. The balancing may be based on any number of factors such as namespace identification (ID), zone ID in a zoned namespace (ZNS) drive, submission and completion IDs, physical and virtual functions, and host addresses to name a few. The re-ordering and hence balancing results in packet level fairness and enables integration of asymmetric systems. In so doing, performance is optimized, reliability is maintained, and scalability is supported.

A method includes: obtaining an access request, wherein the access request carries a first file path corresponding to to-be-accessed data, and the first file path comprises a preset root directory; determining, based on a path of the first file path in the preset root directory, a second file path in a first file system corresponding to the first file path, wherein a name space corresponding to the preset root directory comprises at least two types of sub-paths, and the at least two types of sub-paths respectively correspond to file paths in at least two different file systems; and determining a storage address of the to-be-accessed data based on the second file path.

Enhancing data replication performance by preserving fastcopy-overwrite optimization for backups cloned across namespace subdivisions in a deduplication filesystem. A process keeps a key value pair for each of the files that are being cloned from the original namespace to a subcopy namespace. The key is the file handle of the file being cloned in the original namespace and the value is the handle of the cloned file in the subcopy namespace. When a subsequent generation backup of the same asset is cloned the basefile target file relationship is transferred as is to the new file in the subcopy namespace. This maintains the basefile to target file relationship after cloning to realize fastcopy-overwrite optimization benefits for the backup to the subcopy namespace.

A patient care system can include a smart screen appliance including a touchscreen display and processing circuitry that can be configured to execute a patient care application. A cloud-based infrastructure including a plurality of microservices deployed in a multi-tenant architecture, the plurality of microservices configured to manage patient care data. The cloud-based infrastructure can include a web tier. The smart screen appliance can be configured to communicate with the cloud-based infrastructure via the web tier. The cloud-based infrastructure can also include a plurality of customer-specific clusters. Each customer-specific cluster of the plurality of customer-specific clusters can include a control plane and a plurality of namespaces. Each namespace of the plurality of namespaces can include at least one microservice of the plurality of microservices and an associated database. An administrative console can be in communication with the cloud-based infrastructure through the web tier to access data from the plurality of microservices.

The technology described herein is directed towards determining predicted and / or actual namespace resource consumption in an automated system for deployment, scaling, and management of containerized applications, such as in a Kubernetes® system. Given time series data representative of cluster-level resource consumption history at a percentage scale, resource consumption history for every namespace in the cluster at an absolute scale, and resource consumption history for each individual pod in the cluster at an absolute scale, multivariate time series forecasting with graph neural networks learns the hidden (dynamic and time variant) variable dependencies during a forecasting process that includes graph convolution followed by temporal convolution. The result is a forecast of a namespace's resource consumption.

Systems and methods for sharing a namespace of an ephemeral storage device by multiple consumers are provided. In an example, an NVMe driver of a virtual storage system deployed within a compute instance of a cloud environment facilitates sharing of the namespace by exposing an API through which the multiple consumers access an ephemeral storage device associated with the compute instance. During initialization processing performed by each consumer, for example, during boot processing of the virtual storage system, the consumers may share the namespace by reserving for their own use respective partitions within the namespace via the API and thereafter restrict their usage of the namespace to their respective partitions, thereby retaining the functionality provided by the multiple consumers when the host on which the compute instance is deployed has fewer ephemeral storage devices than consumers that rely on the availability of vNVRAM backed by ephemeral storage.

Methods, systems, and devices to support techniques for container registry credentials management are described. An operator executed across a set of clusters may manage credentials for multiple namespaces distributed across multiple clusters. For example, the operator may identify a configuration of a namespace (e.g., detect a creation of a configuration, detect an update to a configuration) and may provision the namespace within the container image registry using an application programming interface (API) call transmitted to the registry. The operator may retrieve one or more credentials associated with the namespace from the container image registry based on an operational mode (e.g., an application mode, an infrastructure mode). The operator may store the one or more credentials to a database associated with the cluster.

Systems and methods for integrating machine learning models are provided, and more specifically, platforms as a service (PaaS) cloud are used to predict the probability of an operator's success in an environment. An embodiment includes a system comprising: a processor executing computer-executable components stored in memory; a trained machine learning model predicting the probability of successful deployment of an operator in an environment having a namespace of a platform as a service (PaaS) cloud; and a deployment component receiving a first operator and a first namespace, and employing the trained machine learning model to predict the success of deployment of the first operator in the first environment.

A method for transmitting a user datagram protocol (UDP) flow and related devices are provided. The method includes encapsulating a UDP packet in a HTTP datagram payload including a Context ID and a payload containing the UDP packet to be transmitted; and transmitting the HTTP datagram payload with the encapsulated UDP packet, wherein according to Context ID namespace, a value of the Context ID is assigned by the network element from a range of Context ID values defined in a format of the HTTP datagram payload, and the Context ID namespace is associated with a datagram mode of the HTTP datagram payload.

Skills and skills metadata may be used to define a process for building a data center. Skills of one service may depend on skills corresponding to the same or different service. A dependency graph may be generated based on these dependencies. The graph may specify an order by which orchestration operations are to be performed to build the services, thereby building the data center. During execution of the process for building the data center, health states corresponding to the skills may be tracked (based at least in part on alarms and / or namespaces associated with the skills). When an unhealthy skill is identified, the system may traverse the dependency graph to identify a root cause (e.g., failed operations corresponding to a skill on which the unhealthy skill directly / indirectly depends). A notification and / or various options may be provided to address the unhealthy state of one or both skills.

Enhancing data replication performance optimization by maintaining parent-child file relationships when cloning an entire or portion of a first namespace to a second namespace for backups cloned across namespaces in a deduplication filesystem. The file copies may be made by either virtual synthetic (VS) copies that keep a one-way relationship between parent-child files or fast copy overwrite (FCOW) copies that keep a two-way parent-child relationship. Extended attributes are used as metadata for the files to indicate a path or recipe to generate the child file. The extended attributes for the cloned parent and child files are fixed to reference the second namespace so that a relative relationship between the parent and child files is maintained after cloning to the second namespace.

A method for use by a computing device, comprising: identifying a transmission control protocol (TCP) window size of the computing device; identifying a plurality of namespaces based on the TCP window size, wherein identifying the plurality of namespaces includes identifying as many namespaces as possible, but no more, whose information can be requested in a same TCP window; transmitting, from the computing device to a storage system, a plurality of requests for information associated with the plurality of namespaces, wherein each of the plurality of requests for information is transmitted without waiting for an acknowledgment to be received for any other one of the plurality of requests; receiving, at the computing device, a plurality of responses to the requests for namespace descriptors, the plurality of responses including a different respective response to each of the plurality of requests; and processing the plurality of responses.

An energy estimator runs workloads to determine power consumed by processor cores in various power states and utilizations. This power consumption data is then used by an energy export agent for further calculations on different scenarios and cases. The energy export agent reads a total power consumption value from a CPU, data describing execution of processes from an operating system, and information regarding software components executing on the CPU from an orchestrator control plane. The agent uses data describing states of operating of the processor cores of the CPU and the total power consumption value to estimate power consumed by each processor core. Allocation and utilization of each processor core by a process and / or a container that spawned a process are then used to determine power consumption attributable to the process and / or container. A software hierarchy may be used to aggregate power consumption for applications, namespaces, or other software components.

A computer program product, system, and computer implemented method for hierarchical and distributed metrics aggregation using namespaces for a multitenant autonomous cloud environment. The approaches disclosed herein generally comprise hierarchical and distributed metrics aggregation using namespaces for a multitenant autonomous cloud environment. The approaches provided herein are task and object based and use templates to generate metrics objects which include relevant metrics. The templates are associated with rules for their management which specify what, when, and how to modify said metrics. In some embodiments, the rules also specify how metrics in a metric object can be rolled up into another metrics object. The approach provided herein is dynamic and is tied to the lifetime of a corresponding task—e.g., the metrics object is created at the time of the instantiation of the task and is rolled up to a parent metrics object using namespaces when that task ends.

A system includes a first memory device; a second memory device; and a processing device, operatively coupled with the first memory device and the second memory device, to perform operations including: determining a size of the first memory device designated for storing a plurality of address mapping data structures, wherein each address mapping data structure of the plurality of address mapping data structures is associated with a corresponding namespace of a plurality of namespaces, wherein each namespace of the plurality of namespaces is associated with a corresponding region of a second memory device; associating a first address mapping granularity level with the first memory device for storing a first address mapping data structure of the plurality of address mapping data structures; determining a remaining available space of the first memory device by excluding a first size of the first address mapping data structure from the size of the first memory device, wherein the first size is calculated based on the first address mapping granularity level; and associating, in view of the remaining available space of the first memory device and a remaining available space of the second memory device, a second address mapping granularity level with the first memory device for storing a second address mapping data structure of the plurality of address mapping data structures.

A system, mobile device, and method for managing security policies for data items stored in an electronic identification (eID) wallet on a mobile device. The security policies are associated with each of a plurality of supported namespaces on the mobile device, and a verifier terminal operates to select a namespace to access data items stored on the mobile device based on the security policies associated with the plurality of supported namespaces on the mobile device.

A novel approach for configuring network infrastructure and connectivity that allows custom, adaptive, and cooperative interplay between all provisioned members is identified. It introduces the term “Vapornet” that represents a network cloud that extends to edge devices that may be dynamically added, removed, and configured to provide services to participants. Every Vapornet user has a distinct view of services provided by the traditional cloud along with mobile and other edge devices via his own name space. Service entities may be in the network infrastructure, or distributed within multiple edge devices, networks, or Internet. Additionally, it identifies instantiating and / or activating physical or virtual functions opportunistically in transit networks and user devices for improving service availability and quality of experience. It identifies instantiating server agents in client devices that facilitate connectivity and resource access functions in a partitioned network when connectivity to original servers is lost.

A storage device includes: a plurality of non-volatile memories comprising a plurality of super blocks, each of which comprises a plurality of memory blocks on a plurality of dies, and a storage controller configured to: allocate a plurality of name spaces to a plurality of tenants, determine grades of the plurality of super blocks, based on a remapping count of remapping one memory block to another memory block in each of the plurality of super blocks, and an erase count of an erase operation with respect to the plurality of memory blocks, and allocate the plurality of super blocks to the plurality of name spaces, based on the grades of the plurality of super blocks and priority information about the plurality of tenants.

A configuration for a component of a primary node is synchronized with a configuration for a component of a partner node in a different cluster by replicating the primary node configuration with the partner node. A baseline configuration replication comprises a snapshot of a component configuration on the primary. The baseline configuration can be generated by traversing through the configuration objects, capturing their attributes and encapsulating them in a package. The baseline package can then be transferred to the partner node. The configuration objects can be applied on the partner node in the order in which they were captured on the primary node. Attributes of the configuration objects are identified that are to be transformed. Values for the identified attributes are transformed from a name space in the primary node to a name space in the partner node.