Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Bingming Wang"'
Publikováno v:
In Applied Radiation and Isotopes July 2018 137:194-198
Publikováno v:
Scientific Programming, Vol 2021 (2021)
When SaaS software suffers from the problem of response time degradation, scaling deployment resources that support the operation of software can improve the response time, but that also means an increase in the costs due to additional deployment res
Publikováno v:
Scientific Programming, Vol 2020 (2020)
Using the k-nearest neighbor (kNN) algorithm in the supervised learning method to detect anomalies can get more accurate results. However, when using kNN algorithm to detect anomaly, it is inefficient at finding k neighbors from large-scale log data;
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 30:239-262
Logs play an important role in the maintenance of large-scale systems. The number of logs which indicate normal (normal logs) differs greatly from the number of logs that indicate anomalies (abnormal logs), and the two types of logs have certain diff
Autor:
Zhongjun Hu, Xiajun Wu, Wenjian Lin, Bingming Wang, Kaichuang Zhang, Zhenzhong Zhu, Hailong Tan, Jianjun Hu, Qiang Li
Publikováno v:
Chinese Science Bulletin.
Publikováno v:
In International Journal of Refrigeration 2009 32(6):1358-1365
Publikováno v:
Scientific Programming, Vol 2021 (2021)
The log analysis-based system fault diagnosis method can help engineers analyze the fault events generated by the system. The K-means algorithm can perform log analysis well and does not require a lot of prior knowledge, but the K-means-based system
Publikováno v:
QRS
Log analysis can be used for software system anomaly detection, and ensemble learning can handle log data with imbalanced characteristics. Therefore, log-based anomaly detection with ensemble learning is a good choice. However, the existing data bala
Publikováno v:
SMC
Distributed systems have been widely used in the information technology industry. However, with the increasing scale and complexity of distributed systems, the efficiency and accuracy of manual anomaly detection in system logs have decreased. Therefo
Publikováno v:
Journal of Systems and Software. 180:111028
Choosing the right configuration for Spark deployed in the public cloud to ensure the efficient running of periodic jobs is hard, because there can be a huge configuration space to explore which is composed of numerous performance-related parameters