activity
20232026
most citedPBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

FastFI: Enhancing API Call-Site Robustness in Microservice-Based Systems with Fault Injection

Yuzhen Tan, Jian Wang, Shuaiyu Xie +4

Fault injection is a key technique for assessing software reliability, enabling proactive detection of system defects before they manifest in production. However, the increasing co…

cs.LG2025

Root Cause Analysis for Microservice Systems via Cascaded Conditional Learning with Hypergraphs

Shuaiyu Xie, Hanbin He, Jian Wang +1

Root cause analysis in microservice systems typically involves two core tasks: root cause localization (RCL) and failure type identification (FTI). Despite substantial research eff…

cs.SE2025

ScalerEval: Automated and Consistent Evaluation Testbed for Auto-scalers in Microservices

Shuaiyu Xie, Jian Wang, Yang Luo +3

Auto-scaling is an automated approach that dynamically provisions resources for microservices to accommodate fluctuating workloads. Despite the introduction of many sophisticated a…

cs.SE2024★ 1 cited

TVDiag: A Task-oriented and View-invariant Failure Diagnosis Framework with Multimodal Data

Shuaiyu Xie, Jian Wang, Hanbin He +4

Microservice-based systems often suffer from reliability issues due to their intricate interactions and expanding scale. With the rapid growth of observability techniques, various…

cs.SE2023★ 2 cited

PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications

Shuaiyu Xie, Jian Wang, Bing Li +3

Autoscaling is critical for ensuring optimal performance and resource utilization in cloud applications with dynamic workloads. However, traditional autoscaling technologies are ty…