COMPUTING RESOURCE CONFIGURATION METHOD AND DEVICE FOR ENTERPRISE CLOUDIFICATION

    公开(公告)号:US20230342841A1

    公开(公告)日:2023-10-26

    申请号:US18092328

    申请日:2023-01-01

    IPC分类号: G06Q30/08 G06Q10/0631

    CPC分类号: G06Q30/08 G06Q10/06313

    摘要: An embodiment of the present invention discloses a computing resource configuration method and device for enterprise cloudification. The method comprises the following steps: obtaining parameters configured by a user through a configuration page, wherein the parameters include a proportion of a bidding instance to an on-demand instance; determining a total amount of computing resources required by a computing task after the computing task is obtained; determining the computing resources corresponding to the bidding instance and the computing resources corresponding to the on-demand instance based on existing computing resources, the total amount of the computing resources and the proportion; and applying for the computing resources from a cloud provider based on the computing resources corresponding to the bidding instance and the computing resources corresponding to the on-demand instance. Big data is computed in a bidding instance mode so that the total cost of the computing resources is greatly reduced. Moreover, the technical problem of high total cost of the computing resources caused by performing data computing in a mode of depending on a reserved instance and/or the on-demand instance is solved.

    CLOUD COST-BASED RESOURCE DEVELOPMENT SYSTEM AND METHOD

    公开(公告)号:US20230153141A1

    公开(公告)日:2023-05-18

    申请号:US17621208

    申请日:2021-01-29

    IPC分类号: G06F9/455

    摘要: The cloud cost-based resource deployment system and method includes a dynamic deployment strategy module, a resource life cycle management module, and an automatic resource operation and maintenance module. The dynamic deployment strategy module automatically analyzes and combines resource deployment schemes. The resource life cycle management module docks with Application Program Interface (API) of various public clouds, and internally provides standardized and unified interfaces. The automatic resource operation and maintenance module modifies the resources in real time through the public cloud API and a manner of remotely connecting to infrastructure resources. Unified and efficient management on a plurality of public clouds is performed. For cloud resources, deployment strategy can be automatically adjusted for different operation systems, so that the public clouds can be efficiently used with a low cost.

    ONLINE ANALYTICAL PROCESSING PRECOMPUTATION ENGINE OPTIMIZATION METHOD BASED ON OBJECT STORAGE AND APPLICATION

    公开(公告)号:US20220398259A1

    公开(公告)日:2022-12-15

    申请号:US17621210

    申请日:2021-01-29

    摘要: The Online Analytical Processing (OLAP) precomputation engine optimization method based on an object storage, and application, and provides three optimization directions: reduction of an object renaming operation, data consistency check, and inversion of a logical path of an index file. A mapping relationship of a file before and after renaming is matched through a file mapping table added to a metadata layer, and a renaming operation on a bottom layer of a file system is reduced. Logical path inversion of a partition directory hierarchical structure of the file is corresponded to a prefix of the file in the object storage, and the object storage is rapidly queried and read. Logical verification is added to a read operation, a deletion operation, and a write operation, and the data consistency is checked.

    DATA MODEL MATCHING METHOD AND DEVICE

    公开(公告)号:US20220004560A1

    公开(公告)日:2022-01-06

    申请号:US17051011

    申请日:2020-03-04

    摘要: The present application discloses a data model matching method and device. The method includes: determining at least two target data sets required to be queried by a query instruction and an ordered association between the target data sets; decomposing, on the basis of the ordered association between the target data sets, the at least two target data sets to obtain at least two data packets, wherein each of the data packets includes at least one target data set; for each of the data packets, matching, in a database, a first OLAP model corresponding to the data packet, on the basis of the target data set included in the data packet and the ordered association between the target data sets; and outputting the first OLAP model corresponding to each of the data packets. According to the present application, the technical problems of large demand quantity of OLAP models included in an OLAP query system and a low utilization rate of the OLAP models in the related art can be solved.

    DATA CONFIGURATION QUERY METHOD AND DEVICE

    公开(公告)号:US20210406281A1

    公开(公告)日:2021-12-30

    申请号:US17051008

    申请日:2020-03-04

    摘要: The present application discloses a data configuration query method and device. The method includes: determining at least two target data sets required to be queried by a query instruction and an ordered association between the target data sets, wherein the ordered association at least includes a unidirectional association and/or a bidirectional association; generating, on the basis of the at least two target data sets and the ordered association between the target data sets, a target association path; and outputting an OLAP model conforming to the target association path in a database. According to the present application, the technical problems of a large demand quantity of OLAP models included in an OLAP query system and a low utilization rate of the OLAP models in the related art can be solved.