International Business Machines Corporation

Huawei Technologies Co., Limited

Hewlett Packard Enterprise Development LP

Zhao Cao

Lanjun Wang

Lin Xu

Chen Wang

Ju Wei Shi

Jia Zou

Jian Ding

Tao Li

Shuo Zhang

Yu Ying Wang

Yuan Feng

Lan Jun Wang

Xun Liu

Kang Ye

Jing Wang

Peng Li

Min Wang

Peng Gao

Yan Wu

Bing Jiang Sun

Wei Ding

Jun Ma

Rong Zeng Cao

Feifei Li

Xiaoyang Wang

Li Wen

Shimin Chen

Chang Hai Yan

Hou Li Duan

Zhen Lei

Xiao Ning Zhang

Folding mattress

A method for blockchain generation is provided. The method includes: sending, by a client, transaction information to a first node device, where the transaction information includes basic information and digest information; receiving, by the client, an endorsement result sent by the first node device, where the endorsement result includes a signature generated after the first node device successfully performs transaction simulation; and if the endorsement result meets a preset transaction condition, sending, by the client, the digest information and the endorsement result to a second node device, so that the second node device sends, to the first node device the digest information to generate a complete blockchain. In this way, only the digest information is transmitted between the first node device and the second node device. Therefore, the second node device does not obtain the complete transaction information, so that information security is improved.

Blockchain generation method and system, and related device

A consensus process recovery method and a related node, where the method includes determining, by a plurality of nodes, a target instance from one or more secondary instances, where a throughput of the target instance is higher than a throughput of a primary instance, and obtaining, by a first node and all second nodes, a consensus to replace the primary instance with the target instance as a new primary instance, where the second nodes are backup nodes running the target instance, and the first node is a primary node running the target instance.

Consensus process recovery method and related node

Methods and a system are provided. A method includes automatically detecting, by an attribute structural variation detector, attribute structural variations in record schemas of a database lacking schema enforcement. The automatically detecting step includes encoding, by an encoder, nodes in the record schemas based on respective updated node labels to obtain a plurality of codes. The encoding step comprises, for each of the plurality of codes: recording, by a label frequency counter, a frequency fof the record schemas that include a given label; and recording, by a label frequency counter, a frequency fof the record schemas that use a given one of the plurality of codes to update a label of a next level. An attribute variation is detected and retrieved responsive to the frequency f&#x2260;0, and the frequency f&#x3e;(two times the frequency f).

Automatic attribute structural variation detection for not only structured query language database

A method and system for generating a job alert. According to embodiments of the present invention, before a target job is processed, a characteristic of input and output of the target job in at least one stage is determined through analyzing a historical job, and a resource overhead associated with the processing of the target job is calculated based on the characteristic of input and output. Then, an alert for the target job is generated in response to the resource overhead exceeding a predetermined threshold. In such manner, an alert for the target job can be proactively generated before the resource overhead problem occurs, so as to enable an administrator or developer to discover a fault in advance and adopt measures actively to avoid loss and damage to the intermediate results or output data when the target job is processed.

Generating job alert

An information processing system, a computer readable storage medium, and a method of managing a query to find a set of JSON documents in a multi-schema JSON document store. A query engine receives a first query to find at least one JSON document in a plurality of sets of JSON documents stored in the JSON document store, each set of JSON documents being organized in a unique JSON schema version related to a unique JSON schema version of each other set of JSON documents by at least one schema change. The first query is organized in a first unique JSON schema version. A query translator translates the first query into a plurality of queries based on the plurality of schema changes. The first and the plurality of queries are executed to provide a collective set of query results.

System and method of query processing with schema change in JSON document store

Data analytics is performed on a distributed document storage database by receiving a request for initiating a data analytics job; collecting statistics from the database in response to the request; using the statistics to estimate a first cost for merging an incremental data update for the job into a first resilient distributed dataset; using the statistics to estimate a second cost for newly creating a second resilient distributed dataset for the job; when the first cost is less than the second cost, reading data updates from the database and merging the data updates into the first resilient distributed dataset; and when the first cost is not less than the second cost, newly creating the second resilient distributed dataset by reading all documents from the database.

Data analytics on distributed databases

Methods and a system are provided. A method includes automatically detecting, by an attribute structural variation detector, attribute structural variations in record schemas of a database lacking schema enforcement. The automatically detecting step includes encoding, by an encoder, nodes in the record schemas based on respective updated node labels to obtain a plurality of codes. The automatically detecting step further includes clustering, by a clusterer, the plurality of codes into one of a used category and an unused category. The used category and the unused category respectively consist of any of the plurality of codes used or unused to update a child label. The automatically detecting step also includes, when an intersection set formed from the used and unused categories has at least one member, retrieving, by the attribute structural variation detector, the at least one member as a structural variation between at least two of the record schemas.

An event log system and method are disclosed. The system includes a plurality of worker nodes to receive and store event log records from a plurality of log sources, and a coordinator node to maintain information about mapping from the plurality of log sources to the plurality of worker nodes. Each worker node comprises an IngestKV module to temporarily store event log records from the log sources and a TimeRangeKV module to permanently store the event log records.

Event log system

Automatically moving NoSQL data store to a relational database system. Based on discovered data structure schema of a NoSQL file and query plans, attribute usage and association relationships may be determined. Trunk tables may be defined based on trunk part of the data structure schema determined based on the attribute usage. Trunk tables may be validated and relational database tables are generated that correspond to the trunk tables. NoSQL trunk template is generated based on the trunk tables. The relational database tables are loaded with data filtered from the NoSQL file according to the NoSQL trunk template.

NoSQL relational database (RDB) data movement

An information processing system, a computer readable storage medium, and a method of managing a query to find a set of JSON documents in a multi-schema JSON document store. A query engine receives a first query to find at least one JSON document in a plurality of sets of JSON documents stored in the JSON document store, each set of JSON documents being organized in a unique JSON schema version related to a unique JSON schema version of each other set of JSON documents by at least one schema change. The first query is organized in a first unique JSON schema version. A query translator translates the first query into a second query based on the at least one schema change. The first and second queries are executed to provide first and second query results which are collectively returned.

Automatically moving NoSQL data store to a relational database system. Based on discovered data structure schema of a NoSQL file and query plans, attribute usage and association relationships may be determined. Trunk tables may be defined based on trunk part of the data structure schema determined based on the attribute usage. Trunk tables are validated and relational database tables are generated that correspond to the trunk tables. NoSQL trunk template is generated based on the trunk tables. The relational database tables are loaded with data filtered from the NoSQL file according to the NoSQL trunk template.

An apparatus for scheduling includes a receiving unit, configured to receive a task of a job; a configuration unit, configured to configure resource amounts for the task in at least two resource dimensions respectively, wherein each of the resource dimensions represents a resource available for configuring; and an interface unit, configured to distribute the task along with information about the resource amounts configured for the task in the resource dimensions.

Scheduling and execution of tasks based on resource availability

A method and system for adjusting traffic lights. The method and system can dynamically divide a region according to the road congestion situation and adjust traffic lights in a resulting control region according to the control region, so as to solve the traffic congestion problem. The system for adjusting traffic lights includes: a congestion determining module, a control region determining module and a adjusting module, wherein the control region determining module is configured to determine a control region according to a dispersion demand of a first phase and a dispersal capability of a corresponding phase of an adjacent intersection, and the adjusting module is configured to adjust traffic lights of at least one corresponding phase of an adjacent intersection in the control region so as to relieve the traffic congestion situation at the first phase of the first intersection. Also described is a corresponding method for adjusting traffic lights.

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Beijing, China

Zhao Cao