47 citations · 69 across the 11 of their papers we have counts for
11 papers
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems
Junjie Huang, Jinyang Liu, Zhuangbin Chen +7
Postmortem analysis is essential in the management of incidents within cloud systems, which provides valuable insights to improve system's reliability and robustness. At CloudA, fa…
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems
Jinyang Liu, Zhihan Jiang, Jiazhen Gu +6
Ensuring the reliability of cloud systems is critical for both cloud vendors and customers. Cloud systems often rely on virtualization techniques to create instances of hardware re…
Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Network
Kai Song, Shaofeng Wang, Ziwei Xie +3
In the user targeting and expanding of new shows on a video platform, the key point is how their embeddings are generated. It's supposed to be personalized from the perspective of…
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention
Cheryl Lee, Tianyi Yang, Zhuangbin Chen +3
Prompt and accurate detection of system anomalies is essential to ensure the reliability of software systems. Unlike manual efforts that exploit all available run-time information,…
MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing
Tianyi Yang, Cheryl Lee, Jiacheng Shen +3
Microservice resilience, the ability of microservices to recover from failures and continue providing reliable and responsive services, is crucial for cloud vendors. However, the c…
Managing Service Dependency for Cloud Reliability: The Industrial Practice
Tianyi Yang, Baitong Li, Jiacheng Shen +3
Interactions between cloud services result in service dependencies. Evaluating and managing the cascading impacts caused by service dependencies is critical to the reliability of c…
Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning
Baitong Li, Tianyi Yang, Zhuangbin Chen +3
Prompt and accurate detection of system anomalies is essential to ensure the reliability of software systems. Unlike manual efforts that exploit all available run-time information,…
Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems
Tianyi Yang, Jiacheng Shen, Yuxin Su +3
Alerts are crucial for requesting prompt human intervention upon cloud anomalies. The quality of alerts significantly affects the cloud reliability and the cloud provider's busines…
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
Zhuangbin Chen, Jinyang Liu, Yuxin Su +4
To ensure the performance of online service systems, their status is closely monitored with various software and system metrics. Performance anomalies represent the performance deg…
Graph-based Incident Aggregation for Large-Scale Online Service Systems
Zhuangbin Chen, Jinyang Liu, Yuxin Su +5
As online service systems continue to grow in terms of complexity and volume, how service incidents are managed will significantly impact company revenue and user trust. Due to the…
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems
Tianyi Yang, Jiacheng Shen, Yuxin Su +3
Service reliability is one of the key challenges that cloud providers have to deal with. In cloud systems, unplanned service failures may cause severe cascading impacts on their de…