698 results about "Namespace" patented technology

The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. An example non-transitory, machine readable medium comprises instructions that, when executed, direct a processor to: cause a device to connect to a network of a decentralized database, discover a namespace of a node of the decentralized database, create a shared database partition in response to being accepted by the node, advertise a service to the decentralized database; and route data of a service between a private database partition and the shared database partition

A distributed indexing and resolution architecture is disclosed for decentralized systems requiring modular, trust-scoped mutation control and dynamic alias governance. The system comprises a plurality of index entries arranged in a parent-child hierarchy, each associated with a structured alias and governed by one or more anchor nodes. Anchors perform localized resolution, mutation validation, and restructuring operations under deterministic policy constraints, enabling semantic scope enforcement and entropy-sensitive adaptation without requiring global consensus or centralized control. The architecture supports scoped alias traversal, asynchronous mutation proposals, and elastic anchor registration based on system state metrics. The indexing substrate may be integrated into heterogeneous infrastructures, including systems comprising distributed software agents, semantic execution platforms, or pseudonymous identity frameworks. Anchors coordinate within defined trust domains to ensure lineage continuity, dynamic rekeying, and semantic integrity across independently governed segments of a decentralized namespace.

This disclosure provides techniques for managing memory which match per-data metrics to those of other data or to memory destination. In one embodiment, wear data is tracked for at least one tier of nonvolatile memory (e.g., flash memory) and a measure of data persistence (e.g., age, write frequency, etc.) is generated or tracked for each data item. Memory wear management based on these individually-generated or tracked metrics is enhanced by storing or migrating data in a manner where persistent data is stored in relatively worn memory locations (e.g., relatively more-worn flash memory) while temporary data is stored in memory that is less worn or is less susceptible to wear. Other data placement or migration techniques are also disclosed.

Example systems and methods monitor a cloud compute environment. An example method includes: opening, by an agent deployed in a cloud environment, a communication channel between the agent and a kernel of an operating system of a node within the cloud environment; determining, by the agent and via the communication channel, an event associated with a namespace of the operating system; determining, by the agent and based on the event, a status of a container associated with the node; and providing, by the agent to a data platform, a message indicative of the status of the container.

The invention discloses a server network card test method, system and device and a medium. The method comprises the following steps: creating a plurality of network namespaces in a server; mapping physical network cards of the server to different network namespaces respectively; creating one or more pairs of veth virtual network cards among different network namespaces; network parameters are configured, an IP address is configured in each network namespace, and a routing rule is established; a bandwidth test is executed, large-flow data packets are sent among different network namespaces, the throughput rate of data transmission is measured, and the actual bandwidth performance of the network card is calculated; recording the parameters of the data packet in the test process, and analyzing the performance bottleneck of the physical network card; and outputting a bandwidth test report according to the recorded and analyzed data. According to the method, the network card is isolated by using the network namespace in the single server, and the virtual network card is used for realizing data forwarding to complete the bandwidth test of the network card, so that an additional server is not needed, the test cost is remarkably reduced, and the test efficiency is improved.

A system includes a plurality of memory devices and a processing device operatively coupled with the plurality of memory devices, to perform operations including: receiving a request to perform a memory access operation at a first memory region of a first memory device; determining, based on a data structure referencing a namespace, a mapping between an identifier of the first memory region and an identifier of a metadata region associated with the first memory region; identifying, based on an operation type of the memory access operation, one or more corresponding actions associated with the metadata region; and, responsive to causing the memory access operation to be performed on a first plurality of memory cells at the first memory device, causing at least one of the one or more corresponding actions to be performed on a second plurality of memory cells corresponding to the metadata region.

The invention discloses a computer data storage method and system, and relates to the technical field of computer data storage.The computer data storage method comprises the steps that variant samples are generated through multi-modal feature extraction, font topology analysis and adversarial training, and fine modeling of Chinese character connection and pixel-level interference in an electric power drawing is achieved; an isolated storage pool path is dynamically generated through a tree-shaped namespace, and a physical storage address and version information can efficiently and uniquely correspond and retrieve in combination with bidirectional mapping of version identifier construction and block chain indexes; according to a confidence score obtained through weighted calculation of the topological similarity and the term library matching degree, once the confidence score is lower than a preset threshold value, the system pushes a manual recheck mark to a specified terminal through an asynchronous message queue, and meanwhile, read-only data locking is implemented to ensure that the writing process is not interrupted; the consensus management mechanism is based on an improved practical Byzantine fault-tolerant algorithm, and block chain index consistency and data traceability security are guaranteed.

The invention relates to the technical field of electric digital data processing, and provides a secondary development code cross-product transplantation method and device, computer equipment and a medium. The method comprises the steps of loading a source project, screening a to-be-transplanted source code file, identifying an original API type, determining a mapping relation between the original API type and a target API type, and generating an adaptation layer code framework according to the mapping relation; copying the to-be-transplanted source code file into the target project; on the premise of keeping the project hierarchical structure of the source project, replacing the calling node of the original API type with the calling node of the adapter type, and replacing the namespace reference with the corresponding namespace in the target project to obtain a migrated source code file; and obtaining a secondary development project of the target project based on the second product API according to the adaptation layer code framework and the migrated source code file. According to the method and the device, the transplantation efficiency and accuracy of the transplantation of the cross-product secondary development codes are improved.

The invention discloses a Linux container-based Android and open source gap dual-system collaborative operation method, relates to the technical field of operation system collaboration, and aims to reduce resource occupation and improve collaboration and switching coherence, and the method comprises the following steps: step 1, by taking an Android as a host, creating a container isolation running domain, starting a namespace and managing resources by a control group; the method comprises the following steps: presetting a binder virtualization and three-state template; 2, deploying an open source gap in a container, mounting a shared directory in a directory binding manner, configuring bridging or address translation, and establishing copy-on-write and snapshot identifiers; and step 3, establishing a cross-system binder channel, and setting a service registration agent in a service manager and completing mapping of a handle and an authority domain by combining a shared memory and a local socket. And step 4, executing system switching without restarting, enabling one foreground and the other background through a foreground interface and continuous quota assignment, freezing a background session, limiting the speed of background heartbeat, and returning according to a snapshot when an exception occurs.

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.

The invention relates to the technical field of mobile application continuous integration automation, and discloses a multi-channel APP automatic packaging system which comprises the steps that byte code files in a released mobile terminal APP installation package are acquired, and an occupied symbol space set is generated; generating an available confusion namespace by using set complementary operation; extracting method-level code change by using an abstract syntax tree difference algorithm, and generating a change method set; generating a patch special confusion rule for the change method set by using a namespace allocation algorithm; compiling and obfuscating the change method set by applying a patch special obfuscating rule to generate a safe obfuscating patch byte code; performing packaging and signature operation on the safe obfuscation patch byte code, and outputting a minimized obfuscation safe hot repair patch pack; according to the method, the technical problems that class definition conflicts or method calling errors occur after the hot repair patch is loaded, and the downloading success rate of a user is affected due to the overlarge size of the hot repair patch are solved.

A system can include a first memory device comprising a plurality of dynamic capacity devices, a second memory device, and a processing device, operatively coupled with the first and second memory devices. The processing device is configured to perform operations including receiving a host command to move first data associated with a first tag to the second memory device, wherein the first tag is associated with a first memory section of the plurality of dynamic capacity devices, and wherein the first memory section is allocated to a first host system to store the first data; responsive to receiving the host command to move, determining a second memory section of the second memory device, wherein the second memory section is associated with a namespace of the second memory device; and storing the first data in the second memory section associated with the namespace.

The invention relates to the technical field of process orchestration, and discloses an automatic orchestration system and implementation method based on event driving and context management, and the system comprises a model orchestration module which receives an external request through an OpenAPI, carries out the model packaging based on namespace attributes, and abstracts the workflow execution capability into a configurable model entity; the workflow engine module is used for providing a dynamic arrangement and execution mechanism based on a directed graph structure and carrying out unified context management; the parameter configuration module is used for constructing a global data constraint and management mechanism of a parameter-result double-layer model, and establishing a data mapping relation between an execution layer and a display layer of the process; and the data source management module uniformly manages and configures the external service capability units which can be called by the nodes in the workflow. According to the method, asynchronous, self-driven and distributed parallel execution of the workflow nodes can be realized, the operation efficiency in a high-concurrency scene is improved, and organic unification of performance, stability and expansibility is realized.

The invention provides a novel traffic information dynamic time sequence diagram topological structure, which relates to the technical field of dynamic time sequence diagrams, and comprises the following steps: configuring a namespace and time granularity system of a traffic information dynamic time sequence diagram, setting a global timestamp rule and a propulsion strategy, defining an information identification bit structure, and setting a visibility and consistency control strategy. And a unified time window scheduling and snapshot life cycle management mechanism is configured. A dynamic extensible time sequence naming system is formed by establishing a unified naming space, time granularity delta t and a global timestamp rule, windowed organization and snapshot chain management of traffic information are achieved, the structure can automatically advance snapshot in a time driving mode and a data driving mode, time sequence consistency and real-time performance are guaranteed, and the time sequence naming efficiency is improved. The problems that node time management is disordered and data cannot be traced in a traditional traffic map model are solved.

Systems and methods are provided for creating a machine learning (ML) model staging repository, where ML models are stored as an open container image (OCI). The OCI comprises layers or portions of the complete ML model, so that the model can be stored separately and as a smaller files. The ML models may be pre-packaged for automated downloads and integration at the customer site. In some examples, the OCI can identify / store the model in a directory structure that defines the model and its profile. The OCI can comprise a combination of layers and profiles that allows the AI platform to optimize the storage and simplify the process of downloading or updating the given user namespace instead of downloading a single large file for the model.

The invention discloses a Kubernetes-based multi-tenant resource dynamic isolation method, which comprises the following steps of: constructing a CPU (Central Processing Unit) resource control group by utilizing cgropsv2, and realizing dynamic allocation of CPU resources in combination with a dynamic binding engine; constructing a physically isolated storage pool based on the Ceph distributed file system; the network namespace and eBPF flow control technology is utilized, and LWTunnel packaging is combined to realize tenant network complete isolation and QoS speed limitation; constructing an LSTM neural network prediction model to pre-judge a resource demand; a multi-level security system is constructed through AES-256 encryption, Seccomp / BPF container limitation and other technologies; and defining a dynamic strategy object by utilizing CRD to realize strategy management. Through dynamic adaptive resource scheduling, multi-level security protection and highly flexible customization capability, the cluster resource utilization rate can be improved, the CPU cross-NUMA access delay can be reduced, the malicious traffic interception rate can be improved, and the high-performance and high-security requirements of multi-industry and multi-tenant scenes such as finance and e-commerce can be met.

A data processing architecture controls data processing arbitration in a high performance computing system that includes one or more premises. Individual premises can include one or more server computers executing an instance of a local file system and including one or more temporary data storage devices. Individual instances of the local file system can access files stored in objects of a primary data store. Individual objects of the primary data store can be accessed using a common identifier indicating a storage location of the individual objects in the primary data store.

The invention discloses a bandwidth allocation method and device for a namespace, and the method comprises the steps: receiving an operation request, and determining a target namespace for which the operation request aims in an SSD (Solid State Disk); obtaining the capacity of the target namespace and the total bandwidth of the NAND Flash end of the SSD, determining active namespaces when the operation request is received, and obtaining the sum of the capacities of all the active namespaces; wherein the active namespace refers to a namespace with data operation in a preset time period; obtaining a capacity ratio between the capacity of the target namespace and the determined sum of the capacities of all the active namespaces; and allocating bandwidth for the target command space according to the total bandwidth of the NAND Flash end and the obtained capacity ratio, and executing the received operation request according to the allocated bandwidth. Therefore, the overall bandwidth utilization rate is improved.

The invention relates to the technical field of Kubernetes clusters, and particularly provides a Kubernetes cluster resource dynamic management method, system and device and a storage medium, and the method comprises the steps: monitoring hardware resources of a cluster physical node; monitoring load data of the cluster, and generating a predicted load based on the load data; dynamically adjusting the resource quota of the namespace or creating a new namespace according to the pre-configuration rule and the hardware resource; based on the predicted load and namespace, the number of container group copies is automatically expanded through HPA. According to the invention, the resource management efficiency and timeliness are improved.

The invention discloses a data migration system and method, electronic equipment and a storage medium, and relates to the technical field of computers.The method comprises the steps that under the condition that a target data disk meets a data migration session establishment request sent by the source data disk, a corresponding target namespace of to-be-migrated data of the source data disk is established, the information of successful establishment of the data migration session is sent to the corresponding source data disk; the source data disk writes to-be-migrated data into a target namespace of a corresponding target data disk according to a corresponding source logic address of the to-be-migrated data in the source data disk based on the data migration session, and the storage cluster management module stores the to-be-migrated data in the target namespace of the corresponding target data disk under the condition that the data migration task is completed. And recording a corresponding relationship between the source logic address of the to-be-migrated data and the target namespace of the target data disk corresponding to the to-be-migrated data in a system layer. The technical problem that the performance of the storage system is reduced due to the fact that data migration needs to modify a large amount of metadata in the related technology is solved, and the technical effect of improving the performance of the storage system is achieved.

The invention discloses an ANTLR-based SysMLv2.0 text model synchronization method, which comprises the following steps of: S1, constructing a syntactic analysis framework of a SysMLv2.0 language on the basis of the ANTLR, and generating a Leyer and a Parser for analysis; s2, analyzing the original SysMLv2.0 text, and generating an abstract syntax tree AST containing structure, behavior and constraint elements; s3, constructing a semantic model structure based on AST mapping; s4, respectively constructing an original semantic model and a target semantic model, and unifying an identifier, a namespace and a reference path format; s5, comparing semantic model structure differences to generate a difference list; s6, performing insertion, deletion or replacement operation on the original model text according to the difference type, and performing incremental synchronization; s7, deserializing the synchronized semantic model to generate a standard SysMLv2.0 modeling text; and S8, outputting the text file for loading and visual operation of the modeling tool. According to the method, a unified analysis and synchronization system is constructed, and accurate comparison and incremental updating of the SysMLv2.0 text model are realized.

The embodiment of the invention discloses a cluster tenant resource scheduling method and device, electronic equipment and a storage medium, relates to a cloud computing technology and can be used in the field of financial science and technology, and the method comprises the following steps: predicting a future resource demand of a target tenant namespace based on historical resource use data of the target tenant namespace in a cluster, the target tenant namespace comprises a tenant namespace bearing a key service; determining a real-time resource quota of the target tenant namespace based on the available resources of the shared pool and the future resource demand predicted value, the service level and the comprehensive priority of the target tenant namespace; and performing real-time resource scheduling on the target tenant namespace based on the real-time resource quota. According to the embodiment of the invention, the service quality of key services in a multi-tenant mixed deployment scene can be improved, and the resource utilization rate can be effectively improved.

A method for use by a computing device, comprising: receiving a bulk request for namespace information, the bulk request being a Non-Volatile Memory Express (NVMe) command that contains a Controller and Namespace Structure (CNS) code, the CNS code being arranged to indicate that the namespace information for multiple namespaces should be returned in response to the bulk request; identifying a plurality of namespaces, the plurality of namespaces being identified based on an offset value and a length value that are provided in the bulk request; transmitting a bulk request response that contains namespace descriptors for each of the plurality of namespaces.

The embodiment of the invention provides a resource mounting method and a data system, and the method comprises the steps: obtaining the mapping information of a plurality of namespaces in response to a resource configuration event for a target container; determining a target namespace from the plurality of namespaces based on the mapping information of the plurality of namespaces; based on the target namespace, the target computing resource is mounted to the target container, and the target computing resource is configured through the target namespace. According to the technical scheme, software stack mounting through a virtualization layer is avoided, the mounting speed is increased, mounting can be achieved without installing components, and invasion to a bare metal server is avoided.

Techniques are disclosed for enabling cross-realm communications using a virtual bootstrap environment. A computing system can deploy a cross-realm proxy service in a virtual bootstrap environment. The cross-realm proxy service can receive, from a first service in a target region data center, a first request that includes a first credential of the first service. The first credential can be associated with a first namespace of the target region data center. The cross-realm proxy service can authenticate the first credential and, based at least in part on the authentication of the first credential, send a second request to a second service in a host region data center. The second request can include a second credential of the cross-realm proxy service. The second credential can be associated with a second namespace of the host region data center.

The invention provides a file system management method based on pre-distribution and direct addressing and a related device, and relates to the technical field of computers. The technical problems of high access delay and high I / O (Input / Output) overhead caused by chain traversal and dynamic allocation of a traditional file system are solved by pre-allocating all index metadata at one time in a file creation stage, converting file offset by adopting a direct addressing mechanism, and implementing flattened namespace management and decoupling metadata and data operation; the method has the advantages that the file system access efficiency is improved, the I / O operation frequency is reduced, and quick addressing is realized.

Provided in the present disclosure are a container resource configuration method, a computing resource access processing method and a data system. The container resource configuration method comprises: determining a target virtual partition corresponding to a target computing resource of a target container; on the basis of the target virtual partition, querying a target namespace that has a binding relationship with the target virtual partition; acquiring a resource configuration file corresponding to the target namespace; and loading the target virtual partition and, on the basis of the resource configuration file, configuring the target computing resource of the target container. By means of namespaces and virtual partitions that have a binding relationship, the present disclosure binds the namespaces and computing resources and, on this basis, configures the computing resources, thus ensuring secure isolation of the computing resources of containers, effectively avoiding unauthorized access, ensuring direct and highly-efficient access of target containers to configured target computing resources, and improving the isolation and access performance of the container resources.

The invention discloses a resource allocation method, a computer program product and electronic equipment. The method comprises the following steps: receiving an application data operation request, wherein the application data operation request carries a namespace identifier matched with a first application for triggering operation; determining a node list of a node database occupied by the application data of the first application in the first storage database cluster based on the namespace identifier; obtaining a node demand resource load of a node database in the node list in a second processing period; and determining a first node database from the second storage database cluster and migrating the application data of the first application to the first node database under the condition that the first application is determined to meet the resource redistribution condition based on the node demand resource load. The technical problem of low resource utilization rate caused by neglecting the resource use demand change condition of the application is solved.

A solid state drive (SSD) includes an NAND memory and an SSD controller. The SSD controller includes an interface coupled to a host machine, a nonvolatile memory controller coupled to the interface, and a processor coupled to the nonvolatile memory controller. The SSD controller is configured to: receive, via the interface, a write command from the host machine; process, by the nonvolatile memory controller, the write command; transmit, from the nonvolatile memory controller to the processor, a system message; process, by the processor according to Zoned Namespaces (ZNS) protocol, the system message; obtain, by the nonvolatile memory controller via the interface, host data for storage from the host machine; and write the host data to the NAND memory based on a result of processing the system message. Processing the system message by the processor and obtaining the host data by the nonvolatile memory controller are executed in parallel.

The invention relates to the technical field of computer security, in particular to a desktop environment-oriented interactive management and control method for Linux sandbox lightweight process auditing. Comprising the following steps: constructing a dynamic hierarchical sandbox environment based on a namespace and a control group of a Linux kernel, and carrying out bidirectional binding on a specified directory of a host machine and a virtual directory in a sandbox through a preset environment variable mapping rule to realize isolation and dynamic adaptation of a process running environment; loading an intelligent file filter driver with context sensing capability, and performing multi-dimensional monitoring on file operation behaviors of processes in the sandbox in combination with a dynamic probe technology of a kernel mode; constructing a real-time auditing model based on the behavior feature vector, performing security level evaluation on the process operation behavior through the model, and triggering a corresponding management and control strategy according to an evaluation result; according to the method and the device, accurate auditing and dynamic management and control of process behaviors can be realized, so that the safety and the flexibility of the sandbox are improved.