An optimal smooth QoS adaptation strategy for QoS differentiated scalable media streaming. - Xiaorong Li; Edward Chuah; Jo Yew Tham; Kwong Huang Goh (ICME, 2008)

Diagnosing the root-causes of failures from cluster log files. - Edward Chuah; Shyh-Hao Kuo; Paul Hiew; William-Chandra Tjhi; Gary Kee Khoon Lee; John L. Hammond; Marek T. Michalewicz; Terence Hung; James C. Browne (HiPC, 2010)

Establishing Hypothesis for Recurrent System Failures from Cluster Log Files. - Edward Chuah; Gary Kee Khoon Lee; William-Chandra Tjhi; Shyh-Hao Kuo; Terence Hung; John L. Hammond; Tommy Minyard; James C. Browne (DASC, 2011)

Linking Resource Usage Anomalies with System Failures from Cluster Log Data. - Edward Chuah; Arshad Jhumka; Sai Narasimhamurthy; John L. Hammond; James C. Browne; Bill Barth (SRDS, 2013)

Online failure prediction for HPC resources using decentralized clustering. - Alejandro Pelaez; Andres Quiroz; James C. Browne; Edward Chuah; Manish Parashar (HiPC, 2014)

Insights into the Diagnosis of System Failures from Cluster Message Logs. - Edward Chuah; Arshad Jhumka; James C. Browne; Bill Barth; Sai Narasimhamurthy (EDCC, 2015)

Towards Detecting Patterns in Failure Logs of Large-Scale Distributed Systems. - Nentawe Gurumdimma; Arshad Jhumka; Maria Liakata; Edward Chuah; James C. Browne (IPDPS Workshops, 2015)

Towards Increasing the Error Handling Time Window in Large-Scale Distributed Systems Using Console and Resource Usage Logs. - Nentawe Gurumdimma; Arshad Jhumka; Maria Liakata; Edward Chuah; James C. Browne (TrustCom/BigDataSE/ISPA (3), 2015)

Using Message Logs and Resource Use Data for Cluster Failure Diagnosis. - Edward Chuah; Arshad Jhumka; James C. Browne; Nentawe Gurumdimma; Sai Narasimhamurthy; Bill Barth (HiPC, 2016)

CRUDE: Combining Resource Usage Data and Error Logs for Accurate Error Detection in Large-Scale Distributed Systems. - Nentawe Gurumdimma; Arshad Jhumka; Maria Liakata; Edward Chuah; James C. Browne (SRDS, 2016)

Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis. - Edward Chuah; Arshad Jhumka; Samantha Alt; Theodoros Damoulas; Nentawe Gurumdimma; Marie-Christine Sawley; William L. Barth; Tommy Minyard; James C. Browne (HiPC, 2017)

Using Resource Use Data and System Logs for HPC System Error Propagation and Recovery Diagnosis. - Edward Chuah; Arshad Jhumka; Samantha Alt; Juan J. Villalobos; Joshua B. Fryman; William Barth; Manish Parashar (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis. - Edward Chuah; Arshad Jhumka; Samantha Alt; Daniel Balouek-Thomert; James C. Browne; Manish Parashar (J. Parallel Distributed Comput., 2019)

Features correlation-based workflows for high-performance computing systems diagnosis. - Edward Chuah (2020)

Sentiment Analysis based Error Detection for Large-Scale Systems. - Khalid Ayedh Alharthi; Arshad Jhumka; Sheng Di; Franck Cappello; Edward Chuah (DSN, 2021)

Failure Diagnosis for Cluster Systems using Partial Correlations. - Edward Chuah; Arshad Jhumka; Samantha Alt; R. Todd Evans; Neeraj Suri (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Challenges in Identifying Network Attacks Using Netflow Data. - Edward Chuah; Neeraj Suri; Arshad Jhumka; Samantha Alt (NCA, 2021)

A Survey of Log-Correlation Tools for Failure Diagnosis and Prediction in Cluster Systems. - Edward Chuah; Arshad Jhumka; Miroslaw Malek; Neeraj Suri (IEEE Access, 2022)

An empirical study of major page faults for failure diagnosis in cluster systems. - Edward Chuah; Arshad Jhumka; Sai Narasimhamurthy (J. Supercomput., 2023)

An empirical study of reflection attacks using NetFlow data. - Edward Chuah; Neeraj Suri (Cybersecur., 2024)

Deep learning-based prediction of reflection attacks using NetFlow data. - Edward Chuah; Arshad Jhumka; Aladdin Ayesh (Comput. Secur., 2025)

A systematic literature review of log-correlation tools for cyberattack detection and prediction in large networks. - Edward Chuah; Harsha Kalutarage; Kasim Tasdemir; Atnafu Abrham; Carsten Maple (J. Inf. Secur. Appl., 2025)