Beijing Baidu Netcom Science and Technology Co., Ltd.

China Petroleum & Chemical Corporation

Research Institute of Petroleum Processing, Sinopec

International Business Machines Corporation

Beijing Baidu Netcom Science Technology Co., Ltd

Yun Chen

Xianping Qu

Dong Wang

Bo Wang

Youhao Xu

Jianhong Gong

Shouye Cui

Zhihai Hu

Xuanyou Guo

Yue Wang

Yu Chen

Zhigang Zhang

Chaogang Xie

Ping Liu

Ze Zhang

Yuan Hu

Beibei Miao

Jianwei Dong

Congli Cheng

Xiao Hai Ma

Yongqian Sun

Yangsha Wan

Embodiments of the invention include a computer-implemented method for allocating computing resources. The computer-implemented method includes generating, using a processor, tracing data that results from data traffic processed through multiple data paths by the processor. The processor is used to analyze the tracing data to identify a predicted bottleneck path among the multiple data paths, wherein the predicted bottleneck path include a data path on which a data bottleneck is predicted to occur. The computer resources are allocated to the predicted bottleneck path before the predicted data bottleneck occurs.

Automatically controlling resource partitions in advance of predicted bottlenecks for log streaming messages

A method and apparatus for monitoring a system are provided. The method includes: acquiring a series of historical status index data of a monitored system during at least one data collection period; introducing the series of historical status index data into a pre-trained recommended feature extraction model to perform a matching operation, to obtain a feature extraction algorithm matching the series of historical status index data as a recommended feature extraction algorithm; determining a normal value range of feature values obtained by performing feature extraction on the series of status index data of the monitored system according to the recommended feature extraction algorithm; and monitoring the monitored system according to the recommended feature extraction algorithm and the normal value range.

Method and apparatus for monitoring system

A method, an apparatus and a storage medium for diagnosing failure based on a service monitoring indicator are provided. Service monitoring indicator of a server is analyzed to obtain a degree of abnormal fluctuation in the service monitoring indicator. Servers with similar degrees of abnormal fluctuation are clustered according to the degree of abnormal fluctuation of the service monitoring indicator, to obtain clustered results that include the servers and the service monitoring indicator. A location where the service fails is determined according to the clustered results.

Method, apparatus, and storage medium for diagnosing failure based on a service monitoring indicator of a server by clustering servers with similar degrees of abnormal fluctuation

A system monitoring method and apparatus comprises: collecting periodically status indicator data of a monitored system to generate a status indicator data sequence; selecting predetermined pieces of status indicator data according to data collecting time in a reverse chronological order; determining a category from predetermined categories, the predetermined pieces of status indicator data belonging to the determined category; selecting, from the historical status indicator data, status indicator data belonging to the determined category and obtained in a collection period as characteristic data of the determined category; calculating a predicted value of a status indicator of the system at a predicting moment using the characteristic data; and determining whether the system is abnormal, based on a difference between the calculated predicted value and a true value of the status indicator of the system collected at the predicting moment. The present implementation can accurately find the abnormality of the system rapidly.

System monitoring method and apparatus

A catalytic conversion process uses a catalytic cracking catalyst having a relatively homogeneous activity containing mainly large pore zeolites in a catalytic conversion reactor. The reaction temperature, residence time of oil vapors and weight ratio of the catalyst/feedstock oil are sufficient to obtain a reaction product containing from about 12 to about 60% by weight of a fluid catalytic cracking gas oil relative to the weight of the feed stock oil and containing a diesel. The reaction temperature ranges from about 420&#xb0; C. to about 550&#xb0; C. The residence time of oil vapors ranges from about 0.1 to about 5 seconds. The weight ratio of the catalytic cracking catalyst/feedstock is about 1-about 10.

Catalytic conversion method for increasing cetane number barrel of diesel

The present invention relates to a catalytic conversion process for producing more diesel and propylene, comprising contacting the feedstock oil with a catalyst having a relatively homogeneous activity in a reactor, wherein the reaction temperature, weight hourly space velocity and weight ratio of the catalyst/feedstock oil are sufficient to obtain a reaction product containing from 12 to 60% by weight of a fluid catalytic cracking gas oil relative to the weight of the feedstock oil; the fluid catalytic cracking gas oil is fed into the fluid catalytic cracking gas oil treatment device for further processing. Catalytic cracking, hydrogenation, solvent extraction, hydrocracking and process for producing more diesel are organically combined together, and hydrocarbons such as alkanes, alkyl side chains in the feedstock for catalysis are selectively cracked and isomerized.

Catalytic conversion process for producing more diesel and propylene

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Beijing, China

Yun Chen