36 results about "Service sharing" patented technology

Disclosed techniques relate to security of backup data. In some embodiments, a method includes receiving, by data protection service running on a cloud computing system, a first encrypted copy of a backup of a first data store that is associated with a first account of an organization, where the first encrypted copy is encrypted using a first custodian cryptographic key that is shared between the organization and the data protection service that is different than a first production cryptographic key that is private and used by the organization to encrypt a non-backup version of the first data store. The method may include generating a second encrypted copy of the backup, including by encrypting the backup using a storage cryptographic key. The method may include storing the second encrypted copy of the backup in a second data store that is associated with the data protection service.

The invention discloses an edge cloud cluster dynamic conversion and service sharing method, system and device. The method comprises the following steps: determining a network quality index between nodes in an edge cloud cluster; under the condition that the number of the first nodes in the edge cloud cluster is greater than a first preset number, converting the edge cloud cluster into a master-free cluster; under the condition that the edge cloud cluster is a main-free cluster, each node shares the application service and the resource utilization rate of the own node with adjacent nodes in a preset range in a mode of broadcasting a user datagram protocol data packet; and under the condition that the edge cloud cluster is a master-free cluster, if any node detects that the network quality index between the node and other nodes with a preset number is greater than a preset threshold value, electing a master node from the nodes. According to the invention, the technical problems that the edge cloud cluster depends on the central cloud and the service between the nodes is unreliable in a high-mobility environment and a network limited condition are solved.

The present application discloses a method, system, and computer system for using a shared memory quota for communicating with a plurality of services in a data plane. The method includes processing a set of data for network security analysis, determining whether to offload the set of data to a cloud security entity for security processing, in response to determining to offload the set of data to the cloud security entity, send the set of data from a shared memory of the inline security entity to the cloud security entity. The cloud security entity provides a plurality of services. The plurality of services share a multiple-service shared-memory in which messages pertaining to the set of data offloaded to the cloud security entity is stored. Each service in the plurality of services is allocated a quota of the multiple-service shared-memory.

The application discloses a method for calling a service, an electronic device and a readable storage medium, and belongs to the technical field of terminals. The method comprises the following steps: in response to the starting of a service user, obtaining device manufacturer information of the electronic device, wherein the device manufacturer information is used for indicating whether the electronic device belongs to a target manufacturer, and the target manufacturer is a manufacturer providing a service required by the service user; determining a target service end from at least one candidate service end according to a service priority query order matched with the device manufacturer information, wherein the at least one candidate service end all provide the service required by the service user, and the at least one candidate service end has different existence forms in the electronic device; and in response to a service request of the service user, processing the service request through the target service end. The application enables each service user to call the same service end under the condition of meeting the service sharing condition, thereby realizing service or data sharing.

A resource configuration method includes: obtaining configuration information provided by a user, where the configuration information is used to describe a plurality of resources configured for a first cloud service; creating a second cloud service based on the configuration information and an original resource allocated to the first cloud service, where the second cloud service and the second cloud service share an environment type resource, and a workload type resource of the second cloud service is isolated from a workload type resource of the first cloud service; and migrating traffic on the first cloud service to the second cloud service according to a target deployment policy.

Disclosed techniques relate to security of backup data. In some embodiments, a method includes receiving, by data protection service running on a cloud computing system, a first encrypted copy of a backup of a first data store that is associated with a first account of an organization, where the first encrypted copy is encrypted using a first custodian cryptographic key that is shared between the organization and the data protection service that is different than a first production cryptographic key that is private and used by the organization to encrypt a non-backup version of the first data store. The method may include generating a second encrypted copy of the backup, including by encrypting the backup using a storage cryptographic key. The method may include storing the second encrypted copy of the backup in a second data store that is associated with the data protection service.

The invention discloses a method, a system, equipment and a medium for sharing a user participating in an auxiliary service based on dynamic analysis, and relates to the technical field of electric power auxiliary services, and the method comprises the steps: building a user participating in auxiliary service benefit degree quantification model, and quantifying the benefit degree of each user obtained by participating in the auxiliary service; determining a corresponding cost sharing proportion based on the total benefit degree of the user, and calculating the sharing amount of each user in combination with the supply cost, the operation cost and the risk cost of the auxiliary service; setting a stepped excitation coefficient and an influence factor according to the sharing amount, the participation frequency and the response quality of each user, and calculating the final excitation amount of the user; and establishing a dynamic adjustment and constraint model for mechanism operation, and periodically adjusting each parameter and factor. According to the method, the user benefit degree is taken as the calculation basis of cost sharing, and the participation behavior quality is brought into incentive adjustment, so that the fairness of auxiliary service cost distribution is improved, and the participation enthusiasm of the user and the operation flexibility are enhanced.

The application discloses a data transmission method, a terminal and a network side device, and belongs to the technical field of wireless communication. The data transmission method comprises the following steps: an access network device RAN receives a first sensing service control message sent by a first network element, wherein the first sensing service control message at least comprises tunnel information of the first network element; the RAN establishes a sensing service sharing channel, the sensing service sharing channel corresponds to the tunnel information of the first network element, and the sensing service sharing channel is used for transmitting at least one sensing signal measurement data corresponding to a first sensing service.

The present invention discloses a method for creating a virtual service sharing pool based on the layout data stream file floorboard, including: 1. Creating a layout data stream file floorboard; 2. Constructing a computing center and using the computing center as a unified entry for various application resources to enter the floorboard, and conducting overall coordinated and associated management of the application resources; 3. Dividing multiple multi-dimensional virtual sharing partitions on the floorboard; 4. Attaching and registering various application resources to the layout data stream file floorboard so that various application resources form an attachment relationship with the floorboard; 5. The computing center analyzes the application resources, obtains the relationship of the data information of the application resources and stores it in the corresponding multi-dimensional virtual sharing partition, and all the data information of the multi-dimensional virtual sharing is summarized to form a virtual service sharing pool; 6. The computing center realizes the function of sharing their respective information on demand according to the mapping relationship of the application resources in the corresponding multi-dimensional virtual sharing partition. The present invention creatively uses a lightweight file floorboard to construct a large-scale application ecosystem, constructs a new type of combination and application, and improves the management efficiency of application resources.

The invention relates to a method for sharing personal data with a service, to a program implementing same, to a service provider device and to a user terminal. One subject of the invention is a method for sharing personal data with a service, the sharing method comprising: - selecting personal data of one type from among the set of personal data of a user of a service depending on a functionality selected by the user of the service, the selected personal data being able to constitute the personal data shared with the service. The sharing method thus enables graduated sharing of personal data linked to a provided graduated service level.

This application discloses a method and apparatus for establishing a shared sensing service channel, belonging to the field of communication technology. The method for establishing a shared sensing service channel in this application includes: a first access network device (RAN) receiving a first sensing service establishment request message sent by a sensing network element (SF); wherein the first sensing service establishment request message includes identification information corresponding to the SF; the first RAN responds to the first sensing service establishment request message and establishes a shared sensing service channel; wherein the shared sensing service channel is used to transmit sensing measurement data of K sensing services between the SF and the first RAN; where K is a positive integer.

Methods, systems, and devices are described for providing network access services to mobile users via multi-user network access terminals over a multi-beam satellite system. Quality-of-service (QoS) is controlled for the mobile devices at a per-user level according to user-specific traffic policies. Mobile users may be provisioned on the satellite system according to a set of traffic policies based on their service level agreement (SLA). System resources of the satellite may be allocated to mobile users based on the demand of each mobile user and the set of traffic polices associated with each mobile user, regardless of which multi-user network access terminal is used to access the system. Dynamic multiplexing of traffic from fixed terminals and mobile users on the same satellite beam can take advantage of statistical multiplexing of large numbers of users and on different usage patterns between fixed terminals and mobile users.

The invention provides a networking method and device, electronic equipment and a storage medium, and relates to the technical field of communication. The networking method provided by the invention comprises the following steps: starting a hotspot interface; creating a virtual network bridge, and adding the hotspot interface into the virtual network bridge; an Ethernet interface is started, the Ethernet interface is added into the virtual network bridge, and different systems are interconnected through the Ethernet interface to form a local area network. According to the invention, the hot spot interface is started, the virtual network bridge is created, the hot spot interface and the Ethernet interface are jointly bridged to the virtual network bridge, and different systems are physically interconnected through the Ethernet, so that a unified local area network environment can be constructed, and the terminal equipment can access the service of another system without switching the hot spot, thereby improving the user experience. And the terminal equipment can realize services such as screen projection, data sharing, media playing control and the like by being connected with any system without perception, so that the user experience is greatly improved, and the requirements of complex service scenes such as vehicle-mounted multi-screen interaction, service sharing and the like are met.

This application discloses a distributed data service sharing method, which relates to the field of data sharing technology. The method framework keeps the original data locally on the data provider's local machine, and only supports data users to discover data by registering the metadata information of the shared data. At the same time, it combines technical mechanisms such as hybrid encryption, authorized lists and distributed ledgers to achieve secure and efficient data sharing.

The invention relates to the field of human resource service, in particular to a human resource service sharing platform which comprises a display layer, a business function layer, a platform technology layer and a data layer. According to the method, the MySQL database configuration is optimized, query and update operations are optimized, and hotspot data are stored by utilizing a cache technology, so that the data processing and storage efficiency is improved; a rich and visual user interface is provided, and the user experience effect is improved by providing a comprehensive service module and a concise and visual operation process; strong data security and privacy protection are realized; intelligent resource scheduling and management are realized; the system architecture and expansibility are flexible; rich resources and educational training support are provided; tracking and analyzing job application results; and decision quality is improved.

The invention discloses a standard widget communication and service sharing system based on a distributed service architecture, which comprises a server side and a client side, and is characterized in that the server side comprises a resource management and distribution device and a communicator; wherein the resource management and distributor adopts a centralized resource distribution calculation scheme, resource occupation state query between widgets is avoided, and the resource distribution efficiency is improved; the communicator realizes bidirectional transmission of data and excitation signals in a widget tree in the same period based on an event chain model, and the data interaction efficiency is improved. According to the method, the overall interaction performance and the drawing real-time performance of the A661server are greatly improved, and the code reusability and the widget development difficulty are reduced.

The present invention discloses a multi-tenant-based electronic document processing method, system and storage medium. The present invention adopts a service sharing and data logic isolation mode. All tenants in this user mode share a set of services and a database, but each tenant has its own schema for storing data related to its own tenant, thereby greatly saving resource overhead. That is, the method of the present invention not only saves more database server resources, but also does not occupy a large amount of server system resources due to too many database instances when the software initializes the database connection pool resources, thereby significantly improving performance and system stability.

The invention provides an interaction method of a multi-service sharing self-service terminal based on a mobile application and a storage medium. The interaction method comprises the steps that S100, a mobile terminal generates a session key K and a home page encryption pattern parameter; S1, a document is encrypted and is clouded together with metadata; s200, the terminal retrieves the ciphertext, K is obtained locally and then printed, the first page is rendered according to the S1, subsequent pages are rendered normally, and side codes are printed on the side edges of all the pages; s300, placing in a visible placing tray in a stacked manner, and only exposing side codes; s400, generating a disposable token through user near-field authentication, positioning and stacking, transferring to an inner bin, reading a side code, checking and sorting, and then sending to a development station to restore a home page; and S500, outputting the positive-sequence documents and taking away the positive-sequence documents. According to the scheme, complex physical isolation is not needed, and on-site taking, whole-course peep prevention and efficient and orderly delivery are achieved.

Disclosed techniques relate to security of backup data. In some embodiments, a method includes receiving, by data protection service running on a cloud computing system, a first encrypted copy of a backup of a first data store that is associated with a first account of an organization, where the first encrypted copy is encrypted using a first custodian cryptographic key that is shared between the organization and the data protection service that is different than a first production cryptographic key that is private and used by the organization to encrypt a non-backup version of the first data store. The method may include generating a second encrypted copy of the backup, including by encrypting the backup using a storage cryptographic key. The method may include storing the second encrypted copy of the backup in a second data store that is associated with the data protection service.

The invention discloses a cluster resource allocation method and device for artificial intelligence service and a product, and relates to the technical field of large models, artificial intelligence and clusters. The method comprises the steps that resource use information of a cluster deployed with artificial intelligence service is acquired, the cluster comprises a special node, a shared node and an elastic node, the special node is used for deploying reasoning sub-service, the shared node is at least used for deploying training sub-service and data processing sub-service, and the elastic node is at least used for deploying machine learning platform sub-service; determining a resource state of the cluster according to the resource use information; and carrying out resource allocation on the artificial intelligence service according to the resource state. Various service requirements of data processing, model training, reasoning service and a machine learning platform of the artificial intelligence service can be met under the same cluster, and dynamic resource allocation can be performed on the artificial intelligence service according to the resource use information of the cluster, so that response delay is reduced, and the utilization rate of node resources is effectively improved.

The described technology provides a service risk discovery system for recommending, for a cloud based service sharing the service group hierarchy, a predetermined number of top risk observations based on the ranking of the one or more of the risk observations. The system generates the ranking by joining a plurality of risk objects of one or more of the group of cloud based services based on a service identification field of the plurality of risk objects to generate a service group risk vector, the service group risk vector including a plurality of risk observations for the group of cloud based services.

The invention relates to the technical field of shared economy, in particular to a shared intelligent terminal system and management method based on cloud AI collaboration, the system comprises a shared cabinet, a cloud background service module and a plurality of terminal devices, and the shared cabinet charges the terminal devices; when the terminal equipment is used, WiFi hotspot service can be provided, other equipment can be charged, and the cloud background service module is requested to call an AI engine to provide translation or scenic spot broadcasting service; and when the shared cabinet receives the renting instruction from the cloud background service module, the terminal equipment of the corresponding slot is unlocked, so that the user rents the terminal equipment. It can be understood that according to the technical scheme provided by the invention, the charging function, the WiFi hotspot function, the translation function and the scenic spot broadcasting function are integrated only through one terminal device, and the mobile terminal is convenient to carry by a user. And meanwhile, the cloud end utilizes AI to cooperate with the terminal equipment to provide translation or scenic spot broadcasting service, so that the service quality can be improved, and the user satisfaction is high.

The high-performance computing method of CALPUFF is realized based on workflow, which relates to the fields of atmospheric environment and computer processing technology. It solves the problems that the existing meteorological models have poor processing capabilities for abnormal situations, cannot support concurrency in calculations, have low computing efficiency, and are insufficient in analyzing and processing calculation results; and cannot support calculations for complex situations of multiple models, and can only solve single problems with a single script. The present invention is implemented based on an atmospheric model computing service system. According to the workflow model, a computing task is divided into multiple task nodes, which are completed one by one. This method integrates complex data, data analysis and processing, and realizes cloud service sharing. The atmospheric model computing service system of the present invention adopts a numerical simulation method to analyze the causes of atmospheric pollution under different climatic conditions and at different times within the range of the numerical model, and to identify the contribution rates of various pollution sources, various types of pollution sources, and each grid pollution source that affect atmospheric pollution, providing a decision-making support system for atmospheric pollution prevention and control.

The embodiment of the invention provides a sharing method, and relates to the technical field of communication, and the method comprises the steps that second terminal equipment sends a service sharing request to first terminal equipment, the first terminal equipment receives the service sharing request sent by the second terminal equipment, and the first terminal equipment processes the service sharing request, and the first terminal device sends a processing result corresponding to the service sharing request to the second terminal device, and the second terminal device receives the processing result corresponding to the service sharing request fed back by the first terminal device. The sharing method and the corresponding device provided by the embodiment of the invention are suitable for service sharing between the terminal devices.

This application provides an interaction method and storage medium for a multi-service shared self-service terminal based on a mobile application. The interaction method includes: S100 The mobile terminal generates a session key K and a homepage keyprint parameter S1, encrypts the document, and uploads it to the cloud along with metadata; S200 The terminal retrieves the encrypted text, obtains K locally, and prints it: the homepage is rendered according to the S1 keyprint, subsequent pages are rendered normally, and side codes are printed on the side of each page; S300 The stacked documents are placed in a visible tray, with only the side codes visible; S400 The user performs near-field authentication to generate a one-time token, locates the stack, and moves it to the inner warehouse. After the side codes are read, the stack is checked and sorted, and then sent to the display station to restore the homepage; S500 The stacked documents are output in ascending order and taken away. This solution does not require complex physical isolation, thus achieving on-site retrieval, full anti-peeping, and efficient and orderly delivery.

The invention discloses a network security service sharing method and system based on heterogeneous security capability fusion, and the method comprises the steps: simulating manual operation through employing a Python script based on the reverse analysis of a security system without an API interface; based on simulated manual operation, performing interface packaging on the security capability of the security system without the API interface to form a converted unified security capability API interface; based on a heterogeneous security system with an API interface, a Python script is utilized to carry out encapsulation conversion to form the API interface with unified security capability; based on a unified security capability API interface, a security capability management mechanism and a security capability authorization sharing mechanism are designed, and the exposure surface of a security system is reduced; based on a security capability management mechanism and a security capability authorization sharing mechanism, a security capability centralized auditing mechanism is designed, and an enterprise security defense system is constructed. According to the invention, the overall security defense system of the enterprise is more efficient and intelligent, complex security threats and challenges can be better handled, and the security management level of the enterprise is improved.

The invention discloses a satellite subsystem with user private attributes and multi-user sharing. The satellite subsystem comprises a communication layer, an application layer, a data layer and a middle layer so as to introduce a privacy security session mechanism, a satellite-borne permission access control strategy and a multi-task collaborative resource scheduling strategy into the satellite subsystem, so that the satellite subsystem can be shared by multiple users and has a user private attribute. According to the method, the traditional satellite design thought is changed, so that the designed satellite subsystem is not limited to a single-user access form any more, a multi-user sharing mode under a satellite subsystem level, a single-star level and a multi-star level can be realized, the future satellite resource utilization rate is greatly improved, and the future satellite manufacturing, operation and maintenance cost is shared; according to the method, the possibility that a future satellite becomes a public resource is given, technical support is provided for a future satellite military-civilian dual-purpose mechanism, meanwhile, a brand new satellite business model can be promoted, multi-user satellite service sharing commercial application is effectively promoted, and the method has remarkable engineering application value.

According to the positioning data processing method and device, the computer storage medium and the terminal, the SSR service and the OSR service share the real-time satellite position, the satellite clock difference and the satellite phase deviation, the situation that the two services repeatedly execute the same processing is avoided, and the processing resource consumption of the SSR service and the OSR service is reduced; compared with a single gross error checking mode, mutual checking of double-difference atmospheric delay information and single-station non-difference atmospheric delay information is utilized, gross error data can be directly compared and removed through mutual checking, the two pieces of data are combined into a larger sample set to be used for detecting and removing gross errors, and data support is provided for improving modeling precision; non-difference atmosphere modeling is adopted, other atmosphere information can be flexibly introduced, and a basis is provided for further improving the modeling precision; the service quality of the SSR service and the OSR service is improved based on the model coefficient of the precision-improved non-difference atmosphere model; the SSR service and the OSR service share the model coefficient of the same non-difference atmosphere model, so that the processing resource consumption in the modeling process of the two services is reduced.

This invention discloses a full-process service sharing management method for an invoice sharing center, relating to the field of invoice management technology. The key technical solutions include the following steps: acquiring invoice process regulatory standards and demand characteristics information for the target industry; acquiring multi-dimensional real-time data on the invoice circulation process of the target enterprise; obtaining compliance benchmark elements, compliance weight values, anomaly cause characteristic elements, and anomaly tracing elements for the invoice process based on the invoice process regulatory standards and demand characteristics information; associating and matching the invoice process anomaly monitoring elements with the anomaly cause characteristic elements to obtain target anomaly elements; generating an invoice process anomaly tracing report based on the target anomaly elements; and obtaining an invoice process optimization plan for the target enterprise based on the invoice process anomaly degree assessment results and the full-chain anomaly tracing report, thereby continuously improving the stability and efficiency of the invoice process.

A cluster resource allocation method, device and product for artificial intelligence services, relating to the fields of large models, artificial intelligence and cluster technology. The method comprises: obtaining resource usage information of a cluster deploying artificial intelligence services, the cluster comprising dedicated nodes, shared nodes and elastic nodes, the dedicated nodes being used for deploying inference sub-services, the shared nodes being used for at least deploying training sub-services and data processing sub-services, and the elastic nodes being used for at least deploying machine learning platform sub-services; determining a resource state of the cluster according to the resource usage information; and performing resource allocation for the artificial intelligence services according to the resource state. Not only can the method meet the multiple service requirements of data processing, model training, inference services and machine learning platforms of the artificial intelligence services under the same cluster, but also can dynamically allocate resources for the artificial intelligence services according to the resource usage information of the cluster, thereby reducing response delay and effectively improving the utilization rate of node resources.