58results about How to "Improve data performance" patented technology

A method for improving performance of data container backups comprises identifying a data container on a source computer to be backed up. A snapshot image of the data container is generated, wherein the snapshot image comprises one or more partitions. Data is read simultaneously from each of the one or more partitions to a destination computer over one or more transport paths. Each of the one or more transport paths comprises one or more threads. The data read to the destination computer is backed up such that the data retains a physical block sequence of the data container.

A virtual memory management unit (306) includes a redundancy insertion module (307) which is used for inserting redundancy into an encoded data stream to be compressed, such that after being compressed each logical data block fits into a different one from a set of equal-sized physical data blocks of a given size. For example, said redundancy may be given by no-operation (NOP) instructions represented by a number of dummy sequences of a given length (L) into an encoded data stream to be compressed, each dummy sequence being composed of a number of identical binary or hexadecimal fill-in values.

A method, apparatus, and software are disclosed for collecting information relating to the execution of an application for use in analyzing the performance of the application. Probes are inserted at only those points in the application that would yield non-redundant information. As a result, the impact of the information collection process on the application is reduced, improving the usefulness of the collected information.

Memory modules based on DDR-DRAMs are provided with a buffer and error checking module, which integrates an error data memory and a buffer/redriver functionality for conditioning data signals that are transferred to the memory module and output from the memory module and is suitable for the correction of user data stored erroneously in the DDR-DRAMs. The buffer and error checking module enables the integration of both error correction and buffer/redriver functionality on memory modules within the restricted memory module dimensions in accordance with definitive industry standards, simplified or improved routing of data lines and of control and address lines and also, by virtue of a reduction of erroneously transferred data to the data memory system, an increased real data transfer rate.

It is an object to achieve higher performance of input/output processing in a storage system. In a disk controller of a storage system having disk devices and a disk controller that controls input/output of data to/from the disk devices and that accepts requests from a superordinate device, there are provided a memory, a superordinate IF and a subordinate IF (1201), for the exclusive use of each MPU.

A data processor comprises an instruction decode unit (119) for receiving operation codes from an instruction memory (103). A second decoder (114) of the instruction decode unit (119) decodes an operation code for a multiply-add operation, and a second operation unit (117) receives 2 data stored in a register file (115) to perform the multiply-add operation. In parallel with the operations of the second decoder (114) and the second operation unit (117), a first decoder (113) of the instruction decode unit (119) decodes an operation code for 2 data load, and an operand access unit (104) causes 2 data (e.g., n bits each) stored in an internal data memory (105) to be transferred in parallel in the form of combined 2n-bit data to a first operation unit (116). Then, two predetermined registers of the register file (115) store the respective n-bit data from the first operation unit (116).

The invention discloses a database unification platform for electric power big data and a reading method thereof. The method comprises the steps of starting; Verification: the database platform verifies the user identity; Transmitting: receiving a data access request from a user; making Cross-library judgments: when the data access related to the service demand is a cross-library data request, enabling a data access component to forward the service demand to a data hybrid processing engine; Business planning: enabling a data hybrid processing engine to collect, store and process different types of cross-library data, and generating business data; And forming the data into an organization form of data required by the user, returning the data to a foreground display page to be displayed intoa table, and providing the table for the user in combination with a visualization technology. The platform has the advantages of being high in speed, flexible in configuration, capable of crossing databases and the like, multiple databases and data types can be accessed simultaneously in a barrier-free mode, meanwhile, guarantees are provided for rapid development of upper-layer business applications of the unified platform of the power databases, and the design and implementation of the upper-layer applications do not need to consider the difference of the types of bottom-layer databases.

In a data input/output with other apparatus, a data transfer controller (DTC) of a storage controller multiprocesses a data transfer with the other apparatus by utilizing a saving/recovering operation and suppresses a load therefrom, thereby improving performance thereof. A first storage apparatus includes two DMA units in a data transfer LSI of the DTC, uses them to process one or more data transfer concurrently, uses the saving or recovering operation to a memory #3 also in one DMA unit to process the data transfer while the data transfers are switched, thereby multiprocessing a plurality of data transfers. Based on an instruction from the IOC, the DTC makes one of the DMA units recover the necessary data transfer information and data from the memory #3 and transfer the data to the memory, and concurrently the other of the DMA units, which is not processed presently, save in advance, to the memory #3, the data transfer information and the data stored in the memory.

The invention discloses a data processing method of a mobile terminal, and the mobile terminal using same. The data processing method comprises the steps of transmitting and receiving data by a main RF unit on a main carrier; receiving data by an auxiliary RF unit on an auxiliary carrier on condition that a voice service is idle; and when the voice service is in an activated state, disconnecting the auxiliary RF unit with the auxiliary carrier and receiving and transmitting voice information on a voice channel. According to the data processing method of the mobile terminal and the mobile terminal thereof, two RF units of the terminal respectively receive and transmit information on a long term evolution (LTE) main carrier and an LTE auxiliary carrier; and in a voice service state, one RF unit is used for LTE data transmission, and the RF unit is used for the voice service. The data processing method of the mobile terminal and the mobile terminal thereof have advantages of realizing multi-carrier aggregation and improving data performance.

The invention relates to the technical field of data processing, and discloses a data compression method which includes the steps: firstly, writing data into a compression buffer memory; secondly, reading the data from the compression buffer memory by a compression engine in a fixed capacity manner; finally, compressing the read data by the compression engine. The invention further discloses a data compression device which comprises a data writing module, a data reading module and a data compression module, the data writing module is used for writing the data into the compression buffer memory, the data reading module is used for reading the data from the compression buffer memory by the compression engine in a fixed capacity manner; the data compression module is used for compressing the read data by the compression engine. The data compression method solves the problems that compressed data are written in the disk, disk fragmentations are generated in a disk, a lot of disk space is occupied, so that disk space is wasted in the prior art.

The invention discloses a distributed message sending processing system and a processing method thereof, and relates to the technical field of the Internet. The system comprises at least one containernode used for carrying out distributed sending processing on message data to be sent and processed, wherein each container node can start at least one thread to obtain the message data for distributed sending processing. The number of container nodes in the processing system and the number of threads correspondingly started by a single container node can be dynamically adjusted according to the message amount of message data to be sent and processed. The method can greatly improve the processing progress of a large amount of to-be-sent message data, improves the sending efficiency of the message data, and achieves the timely information interaction with a user. The purpose of integrating message sending is achieved, and high availability, high performance and data consistency of a messagesending system are guaranteed. The method is suitable for distributed processing of the message data.

The invention provides a data processing method and system based on data resource directory construction. The method comprises the following steps: classifying electric power informatization big datacollected in each data resource directory construction and storing the data according to data types; selecting corresponding data from the data stored according to the data types according to the service requirements and the data resource directories, and storing and processing the data in a centralized manner to form service data; providing the service data for a user, wherein the data resource directory construction is based on database types for storage, and the data types comprise model data, operation data and statistical analysis data. According to the invention, the data performance ofregulating and controlling different services of big data in multiple aspects is improved.

The present invention proposes a method for solving the decomposition-coordination calculation based on Block Bordered Diagonal Form(BBDF) model by using data center. During the solving process, partitioning the electric power system network by using the existing network partitioning method to achieve the grid partition, and setting the parameters of virtual memories firstly, thus to establish the bin-packing model with the priority of energy efficiency; and then, setting each calculating step of the decomposition-coordination calculation based on BBDF as a task. Through the manners that servers host VMs and VMs map tasks, the decomposition-coordination algorithm can be executed in data center, and the running time and energy consumption of data center can be calculated. The present invention can shorten the calculating time of decomposition-coordination algorithm and reduce the energy consumption in data center. Moreover, with the increase of scale and the complexity of the electric power system, the advantages of the method using data center presented by the present invention are becoming much more obvious.

A backup data storage control unit makes a write-once storage medium store by-generation backup data in order of generations. A generation identification data storage control unit makes a generation identification data of the backup data stored at a storage position right in front of the by-generation backup data in the storage medium.

The invention relates to a high-speed interface transmitter circuit, a chip and electronic equipment. The high-speed interface transmitter circuit comprises at least one group of data serialization circuits, at least one group of balance driving circuits, a clock generation and matching circuit and two load resistors, the clock generation and matching circuit is connected with the data serialization circuit, and a clock signal generated by the clock generation and matching circuit is used for performing clock matching with serial data in the data serialization circuit, so that the clock signal is accurately matched with the serial data in the data serialization circuit, and the data performance is further greatly improved; and the output jitter of the serialization circuit is reduced, so that the eye opening is increased, and the system performance is improved.

The invention provides an intelligent fault diagnosis method based on a stack pruning sparse denoising automatic encoder and a convolutional neural network, which is called sPSDAE-CNN for short. According to the method, original input data is processed by using the stack denoising automatic encoder, and more training data is obtained by using a data enhancement method. The stack sparse pruning and noise reduction self-encoder comprises a full-connection automatic encoding network, and the characteristics extracted at the front layer of the network are used for performing the operation of the subsequent layer, which means that some new connections appear between the front and rear layers of networks, so that the information loss is reduced, and more effective characteristics are obtained; meanwhile, pruning operation is introduced, so that the training efficiency and precision of the network are improved, higher training speed and high adaptability to noise signals are achieved, and the overfitting problem of the convolutional neural network is suppressed to a certain extent; according to the method, the flight data of the quad-rotor unmanned aerial vehicle are input into the model, and high fault diagnosis accuracy is obtained under the condition of high noise interference.

The invention discloses a method and a system for transmitting video codec data between digital signal processors. The method and the system can effectively solve the problems of low resource occupation and low efficiency caused by the fact that a plurality of DSPs share a shared bus and a shared storage device by transmitting interactive data between DSPs through GE interfaces of the DSPs, thereby improving the video data parallel processing capability and efficiency of a plurality of DSPs. Meanwhile, the shared bus and the shared storage device for data interaction in the prior art are obviated by using the GE interfaces of the DSPs for data interaction, so that data interaction for video processing can be achieved without any extra hardware resources, thereby improving the data interaction speed and saving the hardware cost.

A system for data extraction, processing, and management across multiple communication mediums is provided, comprising a connector service configured to create a first dataset from a client, user, or external service provider; a data monitor and extractor configured to create a second dataset by extracting data regarding the data of interest from other and external sources; a knowledge graph constructor configured to compile the first and second datasets into a graph and timeseries-based third dataset; and a data analysis service configured to process and analyze the third dataset to determine a performance rating of the data of interest from the client, user, or external service provider.