Log Parsing: How Far Can ChatGPT Go?
- Creator: Le, Van-Hoang , Zhang, Hongyu
- Resource Type: conference paper
- Date: 2023
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs
- Creator: Zhang, Bo , Zhang, Hongyu , Le, Van-Hoang , Moscato, Pablo , Zhang, Aozhong
- Resource Type: journal article
- Date: 2023
Understanding and predicting incident mitigation time
- Creator: Wang, Weijing , Chen, Junjie , Yang, Lin , Zhang, Hongyu , Wang, Zan
- Resource Type: journal article
- Date: 2023
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
- Creator: Chen, Zhuangbin , Liu, Jinyang , Su, Yuxin , Zhang, Hongyu , Ling, Xiao , Lyu, Michael R.
- Resource Type: conference paper
- Date: 2022
An empirical investigation of missing data handling in cloud node failure prediction
- Creator: Ma, Minghua , Liu, Yudong , Rajmohan, Saravanakumar , Lin, Qingwei , Tong, Yuang , Li, Haozhe , Zhao, Pu , Xu, Yong , Zhang, Hongyu , He, Shilin , Wang, Lu , Dang, Yingnong
- Resource Type: conference paper
- Date: 2022
DreamLoc: A Deep Relevance Matching-Based Framework for bug Localization
- Creator: Qi, Binhang , Sun, Hailong , Yuan, Wei , Zhang, Hongyu , Meng, Xiangxin
- Resource Type: journal article
- Date: 2022
Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge
- Creator: Meng, Xiangxin , Wang, Xu , Zhang, Hongyu , Sun, Hailong , Liu, Xudong
- Resource Type: conference paper
- Date: 2022
Log-based Anomaly Detection with Deep Learning: How Far Are We?
- Creator: Le, Van-Hoang , Zhang, Hongyu
- Resource Type: conference paper
- Date: 2022
LogGD: Detecting Anomalies from System Logs with Graph Neural Networks
- Creator: Xie, Yongzheng , Zhang, Hongyu , Babar, Muhammad Ali
- Resource Type: conference paper
- Date: 2022
Patching Weak Convolutional Neural Network Models through Modularization and Composition
- Creator: Qi, Binhang , Sun, Hailong , Gao, Xiang , Zhang, Hongyu
- Resource Type: conference paper
- Date: 2022
Fast Outage Analysis of Large-Scale Production Clouds with Service Correlation Mining
- Creator: Wang, Yaohui , Li, Guozheng , Xu, Zhangwei , Zhao, Pu , Qiao, Bo , Li, Liqun , Zhang, Xu , Lin, Qingwei , Wang, Zijian , Kang, Yu , Zhou, Yangfan , Zhang, Hongyu , Gao, Feng , Sun, Jeffrey , Yang, Li , Lee, Pochian
- Resource Type: conference paper
- Date: 2021
Fighting the Fog of War: Automated Incident Detection for Cloud Systems
- Creator: Li, Liqun , Zhang, Xu , Gao, Feng , Yang, Li , Lin, Qingwei , Rajmohan, Saravanakumar , Xu, Zhangwei , Zhang, Dongmei , Zhao, Xin , Zhang, Hongyu , Kang, Yu , Zhao, Pu , Qiao, Bo , He, Shilin , Lee, Pochian , Sun, Jeffrey
- Resource Type: conference paper
- Date: 2021
Graph-based Incident Aggregation for Large-Scale Online Service Systems
- Creator: Chen, Zhuangbin , Liu, Jinyang , Su, Yuxin , Zhang, Hongyu , Wen, Xuemin , Ling, Xiao , Yang, Yongqiang , Lyu, Michael R.
- Resource Type: conference paper
- Date: 2021
HALO: Hierarchy-aware Fault Localization for Cloud Systems
- Creator: Zhang, Xu , Du, Chao , Rajmohan, Saravanakumar , Zhang, Dongmei , Li, Yifan , Xu, Yong , Zhang, Hongyu , Qin, Si , Li, Ze , Lin, Qingwei , Dang, Yingnong , Zhou, Andrew
- Resource Type: conference paper
- Date: 2021
Log-based Anomaly Detection Without Log Parsing
- Creator: Le, Van-Hoang , Zhang, Hongyu
- Resource Type: conference paper
- Date: 2021
LogDP: Combining Dependency and Proximity for Log-Based Anomaly Detection
- Creator: Xie, Yongzheng , Zhang, Hongyu , Zhang, Bo , Babar, Muhammad Ali , Lu, Sha
- Resource Type: conference paper
- Date: 2021
Onion: Identifying incident-indicating logs for cloud systems
- Creator: Zhang, Xu , Xu, Yong , Chintalapati, Murali , Rajmohan, Saravanakumar , Zhang, Dongmei , Qin, Si , He, Shilin , Qiao, Bo , Li, Ze , Zhang, Hongyu , Li, Xukun , Dang, Yingnong , Lin, Qingwei
- Resource Type: conference paper
- Date: 2021
Anomaly detection via mining numerical workflow relations from logs
- Creator: Zhang, Bo , Zhang, Hongyu , Moscato, Pablo , Zhang, Aozhong
- Resource Type: conference paper
- Date: 2020
Cost-effective testing of a deep learning model through input reduction
- Creator: Zhou, Jianyi , Li, Feng , Dong, Jinhao , Zhang, Hongyu , Hao, Dan
- Resource Type: conference paper
- Date: 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
- Creator: Gu, Jiazhen , Luo, Chuan , Qin, Si , Qiao, Bo , Lin, Qingwei , Zhang, Hongyu , Li, Ze , Dang, Yingnong , Cai, Shaowei , Wu, Wei , Zhou, Yangfan , Chintalapati, Murali , Zhang, Dongmei
- Resource Type: conference paper
- Date: 2020