International Business Machines Corporation

Guan Cheng Chen

Kun Wang

Ju Wei Shi

Yan Li

Tao Liu

Qi Guo

Jia Zou

Ben Bo Yang

Xin Li

Chen Wang

Jian Li

Wen Wei Tang

Xiao Ming Bao

Liu Tao

Haibo Lin

Qiming Teng

Xu U Wang

A system, method and computer program product configured for processing database data in a distributed database system, wherein the distributed database system comprises a plurality of computing nodes communicatively coupled via computer networks, the method comprising: creating a plurality of different data replicas wherein each of the data replicas is created in the following way: sorting the database data according to at least one data attribute; generating a row key based on the at least one data attribute; and using the sorted database data with the row key as the data replica, storing different data replicas in different computing nodes; and creating an index for each of the data replicas according to its row key.

Method and apparatus for processing database data in distributed database system

A computer program product configured to implement a method for processing database data in a distributed database system, wherein the distributed database system comprises a plurality of computing nodes communicatively coupled via computer networks, the method comprising: creating a plurality of different data replicas wherein each of the data replicas is created in the following way: sorting the database data according to at least one data attribute; generating a row key based on the at least one data attribute; and using the sorted database data with the row key as the data replica, storing different data replicas in different computing nodes; and creating an index for each of the data replicas according to its row key.

A computer implemented method and system for data processing. An example method includes setting at least one SMT preliminary value for at least one operating node; monitoring performance metrics for the at least one operating node set to the at least one SMT preliminary value; and determining a SMT revised value based on performance metrics. An example system includes a memory; a processor communicatively coupled to the memory; and a feature selection module communicatively coupled to the memory and processor. The feature selection module performs a method that includes setting, using a setting device, at least one SMT preliminary value for at least one operating node; monitoring, using a monitoring device, performance metrics for the at least one operating node set to the at least one SMT preliminary value; and determining, using a determining device, a SMT revised value based on performance metrics.

Processing data by using simultaneous multithreading

A method and device for realizing graph processing based on the MapReduce architecture is disclosed in the invention. The method includes the steps of: receiving an input file of a graph processing job; predicting a MapReduce task execution time distribution of the graph processing job using an obtained MapReduce task degree-execution time relationship distribution and a degree distribution of the graph processing job; and dividing the input file of the graph processing job into input data splits of MapReduce tasks according to the predicted MapReduce task execution time distribution of the graph processing job.

Realizing graph processing based on the mapreduce architecture

A data processing method for a distributed system, the distributed system comprising a master storage node and multiple slave storage nodes, includes: storing, responsive to a request for writing a data file, multiple replications of the data file on the multiple slave storage nodes, each of the replications being segmented into data blocks of a same size, wherein the sizes of the segmented data blocks of at least two replications are different; and storing distribution information of the multiple replications.

Data processing method and apparatus for distributed systems

Realizing graph processing based on the MapReduce architecture

The present invention relates to a method, apparatus, and computer program product for scheduling in job execution. According to embodiments of the present invention, there is provided a method for scheduling a plurality of job slots shared by one or more pre-processors and one or more post-processors in job execution, wherein the data generated by the pre-processor(s) will be fed to the post-processor(s) for processing. The method comprises: determining an overall data generation speed of the pre-processor(s); determining an overall data consumption speed of the post-processor(s); and scheduling allocation of at least one of the job slots between the pre-processor(s) and the post-processor(s) based on the overall data generation speed and the overall data consumption speed. Corresponding apparatus is disclosed as well.

Scheduling in job execution

A method and apparatus for processing database data in a distributed database system, wherein the distributed database system comprises a plurality of computing nodes communicatively coupled via computer networks, the method comprising: creating a plurality of different data replicas wherein each of the data replicas is created in the following way: sorting the database data according to at least one data attribute; generating a row key based on the at least one data attribute; and using the sorted database data with the row key as the data replica, storing different data replicas in different computing nodes; and creating an index for each of the data replicas according to its row key.

An information processing method for a touch screen device includes in response to contact of a user's finger with a touch screen of the touch screen device, identifying the finger contacting the touch screen; determining key(s) corresponding to the identified finger based on set correspondence relationship(s) between the finger(s) and the key(s); and displaying at least one character represented by the key(s) corresponding to the identified finger.

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Beijing, China

Guan Cheng Chen