2 citations · 2 across the 10 of their papers we have counts for
11 papers
CloudIR-Bench: A Benchmark for Root Cause Analysis and Mitigation of Cloud Incidents
Hoang Tran, Huong Ha, Tri Dang +2
Root cause analysis (RCA) and mitigation prediction are essential for incident management, enabling the identification of underlying causes of failures and ensuring the reliability…
TORAI: Multi-source Root Cause Analysis for Blind Spots in Microservice Service Call Graph
Luan Pham, Huong Ha, Xiuzhen Zhang +1
Existing multi-source root cause analysis (RCA) methods for microservice systems assume all services have traces to construct a service call graph. However, this assumption is not…
An Empirical Study on Ensemble-Based Transfer Learning Bayesian Optimisation with Mixed Variable Types
Natasha Trinkle, Huong Ha, Jeffrey Chan
Bayesian optimisation is a sample efficient method for finding a global optimum of expensive black-box objective functions. Historic datasets from related problems can be exploited…
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
Lam Ngo, Huong Ha, Jeffrey Chan +1
Bayesian Optimization (BO) is a powerful tool for optimizing expensive black-box objective functions. While extensive research has been conducted on the single-objective optimizati…
MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning
Lam Ngo, Huong Ha, Jeffrey Chan +1
High-dimensional Bayesian Optimization (BO) has attracted significant attention in recent research. However, existing methods have mainly focused on optimizing in continuous domain…
BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings
Lam Ngo, Huong Ha, Jeffrey Chan +1
When it comes to expensive black-box optimization problems, Bayesian Optimization (BO) is a well-known and powerful solution. Many real-world applications involve a large number of…
RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data
Luan Pham, Hongyu Zhang, Huong Ha +2
Root cause analysis (RCA) for microservice systems has gained significant attention in recent years. However, there is still no standard benchmark that includes large-scale dataset…
Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?
Luan Pham, Huong Ha, Hongyu Zhang
Microservice architecture has become a popular architecture adopted by many cloud applications. However, identifying the root cause of a failure in microservice systems is still a…
BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection
Luan Pham, Huong Ha, Hongyu Zhang
Detecting failures and identifying their root causes promptly and accurately is crucial for ensuring the availability of microservice systems. A typical failure troubleshooting pip…
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
Lam Ngo, Huong Ha, Jeffrey Chan +2
Bayesian Optimization (BO) is an effective method for finding the global optimum of expensive black-box functions. However, it is well known that applying BO to high-dimensional op…
Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation
Huong Ha, Vu Nguyen, Hung Tran-The +3
Gaussian process (GP) based Bayesian optimization (BO) is a powerful method for optimizing black-box functions efficiently. The practical performance and theoretical guarantees of…