60 results about "Data as a service" patented technology

The invention provides a data service system which comprises a data structure platform and a service logic module, wherein the data structure platform is used for managing data and control information; and the service logic module is used for calling the data and/or control information of the data structure platform according to the user command, and realizing the service logic according to the control information on the service logic of the data structure platform. The invention constructs a complete data service system, packages database entity table structure information into a data dictionary description platform, extracts the abstract database technology into simple functions which can be understood by the user, and forms an integrated data structure platform by abstracting logic control of the service system and integrating the platform functions. The invention can conveniently realize user-defined expansion, and apply the expansion into every service subsystem in the data service system to realize the function of matching the user management, thereby realizing complete application of service functions and forming a complete data service system solution.

The invention discloses a government affair information resource management system based on cloud computation. The government affair information resource management system comprises a relational database, an information resource sharing service platform, a government big data analysis service platform, an information resource management operation platform and a data warehouse. The government affair information resource management system has the advantages that for information resource services, information resources are uniformly coordinated by a government administrative department, a management method and a use mechanism are formulated, and are centrally deployed on a government information system, departments at all levels can apply to the government administrative department according to the use requirements, the approved application is accepted by a government service center, and finally the service resources are distributed, so the management is convenient, the working efficiency of the governments is favorably improved, and a new trend of BDaaS (Big Data as a Service) is led.

The invention discloses a user awareness depth detection method based on MR and XDR, which comprises the following steps of S1, acquiring MR data and XDR data; S2, extracting user location informationfrom the XDR data; S3, by using the S1-MME interface data in the XDR data as a control plane and by using the S1-U interface data as a service plane, forming a service quality KQI index from the twodimensionalities including the control plane and the service plane; S4: establishing a scoring model of a user awareness MOS index, calculating a user awareness MOS value based on the scoring model and the service quality KQI index; S5, establishing a 'wireless performance-service performance-user awareness' three-layer analysis model according to a wireless performance KPI index, the service quality KQI index and the user awareness MOS value, and restoring the instantaneous wireless performance during poor quality of user awareness by the three-layer analysis model. The method, by means of the two-way linkage analysis between a wireless side and a service side, upgrades the analysis level of a poor-quality user from the cell level to the user level and improves the problem location accuracy and efficiency.

A system and method provide for shared access to a database in a semi-trusted platform. In the method, for each of a set of users, provision is made for regenerating a respective user key, based on a respective predefined user input, such as a hashed password. One or more of the users is authorized to have access to an encrypted database. For each of these, the method includes encrypting a key for the encrypted database with the respective user's user key to generate an encrypted database key. During a user session, one of the authorized users is provided with access to the encrypted database by decrypting the database key from the encrypted database key with the respective user's user key, and decrypting the database, from the encrypted database, with the database key. The database key and each user's user key are not stored on the platform and are thus inaccessible to platform administrators and unauthorized users between user sessions.

Techniques for replicating modified data to a hierarchical database. A first list comprises records included in a set of records before at least one modification thereto. A second list comprises records included in the set of records after the at least one modification thereto. For each pre-modification record included in the first list and each post-modification record included in the second list having equal identifying values, a target record at the database and having a matching identifying value is modified. Specifically, if both records include corresponding indexes, information about a structure pointed to by the pre-modification record is removed from an index included in the target record, and information about a structure pointed to by the post-modification record is added to the index. If neither record includes an index, the target record is modified to contain at least one changed value included in the post-modification record.

The present solution is directed to methods and systems for storing personal identifiable information. In some implementations, the information is collected during the authentication of identification (ID) documents. The personal identifiable information can be useful in processes such as client enrollment, mobile device management, identification processes, and transaction audits. However, the data can be a target for bad actors. The present solution includes a one-way hashing and cryptographic function that converts unique personal identifiable information into a unique digest which can be securely stored on a mobile device and rendered as an original state digital image for proof of ID.

An embodiment of the invention discloses a fog computing network service transmission method based on grading caching. The method comprises the steps as follows: first F-UE (Fog computing-User Equipment) generates a service request, and the first F-UE responds to the service request; the service request is sent to a first F-AP (Fog computing-Access Point) if the F-UE itself cannot respond to the service request; the first F-AP instructs other F-UE connected with the first F-AP to respond to the service request; the first F-AP itself responds to the service request if other F-UE cannot respond to the service request; the service request is sent to a centralized processing center if the first F-AP itself still fails to respond to the service request; the centralized processing center instructs other F-AP connected with the centralized processing center to respond to the service request; data service is obtained from a large-scale centralized cache to respond to the service request if other F-AP cannot respond to the service request; data service is obtained from a data center to respond to the service request if the data service obtained from large-scale centralized cache still cannot respond to the service request. With the adoption of the provided embodiment, efficient and reliable data service transmission is realized.

The invention provides an intelligent data service method based on a distributed system. A master node of the distributed system is used for managing global file namespace; and in processes of writing files into the distributed system and reading files from the distributed system, the master node of the distributed system is used for analyzing and processing requests of clients, selecting specific data preprocessing programs, distributing the programs to slave nodes of the distributed system for subsequent data preprocessing and transmission. According to the intelligent data service method based on the distributed system, prior distributed system storage space can be clustered rapidly in data intensive application environments; computing resources of the distributed system are fully used, so that data services can be provided intelligently according to requests of external computing devices; and part of data processing loads are further transferred from external computing devices to the distributed system, and accordingly, bandwidth requirements for providing data services for external computing devices are reduced.

The invention discloses an agricultural economy electronic map data service interface method, which mainly comprises generation of an agricultural professional business data dictionary; introduction of attribute data involved by the business; automatic association and verification of business attribute data and space elements; and finally space information query and analysis of data service. The agricultural economy electronic map data service interface method is suitable for an agricultural economy electronic map service platform, caters to electronic map data service interfaces of different agricultural professions, can be regarded as further function expansion of an agricultural economy information electronic map. By means of the agricultural economy electronic map data service interface method, quick personalized electronic map data service can be provided for agricultural management users of different levels and different professional departments.

The embodiment of the invention relates to a data service system. The data service system comprises a user side and a data service center, wherein, the data service center is used for acquiring a management operation request of the user side aiming at a data terminal unit; when the user side is legal, the management operation request is processed correspondingly. Furthermore, the embodiment of the invention also provides a corresponding data service center and a management operation method. Adoption of the embodiment of the invention can provide management operation to a legal user side aiming at the data terminal unit, thereby saving manpower, material source and financial resource of management operation aiming at the data terminal unit.

A data engine in management platform of resource consists of data engine pluggable unit for providing data service and for maintaining an adapter, maker of evaluation unit, informer, an activity task, data engine tool pluggable unit for connecting data engine to resource supervisor and for providing default transmitter to log on default task recorder to finalize journal service as well as form providing a set of default adapter for data engine pluggable unit, and task processor for being used as task execution component of said data engine.

A services platform acts as an intermediary between an existing enterprise analytic environment, and one or more underlying cloud service providers. The platform provides enterprise “big data-as-a-service,” by which an enterprise can seamlessly and easily provision new capacity for processing its analytic workload, and migrate data sources (e.g., data warehouse marts, enterprise data warehouses, analytic sandboxes, and the like) to the cloud for processing. The platform provides end-to-end enterprise class manageability of enterprise data assets, from data collection, aggregation, movement, staging and processing, all while providing service levels, security, access and governance. The platform integrates directly but seamlessly into the enterprise analytic stack, and existing analytics applications work as normal. The lifecycle of data analytics from movement to warehousing, however, is provided by the platform. The platform provides a way for the enterprise to translate its workloads into clusters of compute resources that meet its service level requirements.

The invention relates to a method for analyzing the product association of a data service in the mobile communication industry, which comprises the following steps of: building a data set; building a plurality of association rule models; evaluating and testing the plurality of association rule models; selecting the optimal association rule model; and releasing and applying the model. Compared with the prior art, the method can well mine the association rule models aiming at a mobile communication service.

The invention discloses a school logistics service management system which comprises a data service system, a maintenance interface system and a user interface system, wherein the data service system is connected with the maintenance interface system, the data service system is connected with the user interface system, the maintenance interface system comprises a work order module, the user interface system comprises a repair module, the data service system is used for storing, analyzing and processing data, and the maintenance interface system is used for supervising maintenance work of maintenance workers and receiving repair reporting and application information from users. The program of the system is structuralized, the readability and transferability of the program are enhanced, and code redundancy is minimized. The school logistics service management system meets the requirements of teacher and student users, and realizes supervision and automation of logistics service.

The invention discloses a service processing method of an intelligent robot supermarket. The method is characterized by comprising the following steps: configuring a virtual machine at a self-service terminal of the intelligent robot supermarket, wherein the virtual machine comprises a service recognizer and local service execution service; when a user operates on the self-service terminal, the service recognizer recognizing operation and service corresponding thereto and determining whether the service is local service or network service; if the service is local service, executing the service through the local service execution service, and otherwise, sending a data service request to a cloud data management system; the cloud data management system receiving the data service request from the self-service terminal, retrieving a local data service warehouse, and starting a scheduling process correlated with data service; and the scheduling process schedules one or more than one virtual machine disposed in the cloud data management system locally or a network to provide the corresponding data service for the operation performed by the user on the self-service terminal and display the data service on the self-service terminal.

The invention relates to the field of the information technology, and discloses a data service system. The system comprises a CMS (Content Management System), a third-party fetching database, a data processing library and an AMS (Application Management System), wherein the third-party fetching database is used for storing data fetched by a third party; the data processing library divides the data into key data and non-key data, wherein the non-key data is stored into the CMS, and the key data is input to the AMS; and the AMS is used for investigating the key data and storing the key data which passes investigation into the CMS. Through the above technical scheme, the data from the third-party fetching database can be subjected to classification investigation, on one hand, data processing efficiency is improved through classification, on the other hand, the effectiveness of the data stored into the CMS is guaranteed, so that users can obtain the data of the CMS without worries, and user experience is improved.

The embodiment of the invention discloses a data service method. The method comprises the following steps: pre-storing processing programs corresponding to some data services as data service units, wherein when a new target data service needs to be developed, a technician can select a target data service unit from pre-stored data service units and set a corresponding target operation mode, and thetarget data service unit packages and generates a processing program corresponding to a target data service according to a target operation mode and sets an interface corresponding to the packaged and generated target data service. Therefore, compared with the mode that a processing program corresponding to the data service is provided for the user after code development is carried out, the development time is saved, and the new data service can be provided for the user in real time.

The invention discloses an ecological cloud platform data input system based on big data and a use method. The system comprises a data persistence layer which is used for providing datamation data service; a Model layer which is used for packaging the ORM of the JDBC; a Dao layer which is used for providing a data access service for a user; a Service layer which is used for providing a service logic relationship and realizing logic among services; a Controler layer which is used for providing Model data in the MVC, and processing the response results; a View layer which is used for interface view rendering; and the API interface which is used for interacting with an external data system to realize ecological cloud data sharing. According to the invention, the capabilities of information acquisition, processing and service can be improved.

The invention provides an efficient big data network data communication realization method. A big data network comprises a group of nodes; wherein one type of data is defined by a name, one type of data comprises N data blocks, N is an integer greater than 1, each data block is uniquely identified by a data block ID s, s is greater than or equal to 1 and less than or equal to N, one data block canonly be provided by one node, and the node is called a provider of the data block; the consumer can quickly and reliably obtain the data service provided by the network through the implementation method provided by the invention, the data acquisition delay and cost are shortened, the service quality is improved, and the method can be applied to the fields of important information transmission, such as road condition monitoring and vehicle management, and has a wide application prospect.

The invention discloses a multi-dimensional flow control method and system, and belongs to the technical field of flow control. The method comprises the following steps: S1, configuring a flow controlstrategy; S2, requesting a gateway; S3, reading a flow control strategy; S4, executing a flow control strategy; S5: requesting return. In step S1, a service provider takes interface service information to be registered as basic data, registers the basic data as a service in a service registration center and configures a corresponding flow control strategy for the service, and strategy configuration information is sent to a gateway and is bound with the registered service information. According to the method disclosed in the invention, a token bucket algorithm is realized; after a flow controlstrategy is configured, flow limiting is carried out on request flow or flow limiting is carried out on a request in a time window to protect a system; once a flow control threshold value is reached,service use can be refused; service consumers do not need to care about implementation details, and only need to configure a flow control strategy to perform flow limiting protection on the service,and therefore the method is worth popularizing and using.

The invention discloses a data service system for insurance business, and the system comprises a reverse proxy server which is used for receiving an insurance service request, transmitting the insurance service request to at least one basic platform system, and receiving a processing result returned by the basic platform system; at least one basic platform system, used for converting the format ofthe insurance service request, sending the converted insurance business request to the corresponding data service platform according to the type of the insurance service request, receiving a processing result returned by the data service platform, converting the format of the data service platform, and returning the converted data service platform to the reverse proxy server; at least one data service platform, used for processing insurance business data in the memory database cluster according to the insurance service request after format conversion sent by the basic platform system, and returning a processing result to the basic platform system. The insurance business data is stored in the memory database cluster. The problem that an existing data service system for insurance business is poor in data service reliability is solved.