![Dr Thuan Yew Edward Chuah Dr Thuan Yew Edward Chuah](/img/200x200/staffpages/uploads/s03tc2/avatar/vZ0Ki16hZXXMUVW1vugllAIL9RKhsYaovBcLNX8y.jpeg)
Lecturer
- About
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- Email Address
- thuan.chuah@abdn.ac.uk
- School/Department
- School of Natural and Computing Sciences
Biography
Dr. Edward Chuah is a Lecturer (equivalent to Assistant Professor in the US) in the Computing Science Department, University of Aberdeen. He received his PhD in Computer Science at the University of Warwick (His PhD supervisor was Dr. Arshad Jhumka). Before his PhD, he worked in Singapore as a research engineer, software engineer and lecturer (1.5 years in software engineering, 8 years in R&D and 2 years in teaching). After his PhD, he continued his research in failure diagnosis and developed new research in network security as a post-doc at Lancaster University (His advisor was Prof. Neeraj Suri). He also taught at the University of Exeter. His current research focus is in High-Performance Computing (HPC) systems failure diagnosis and identifying attacks in large networks. He has been working on the topic of failure diagnosis since 2010. His work involves processing large volumes of real data to generate new insights into a distributed system and to improve its reliability and security.
Research topics: Large-scale systems dependability, Network security (attacks identification, detection and prediction), HPC reliability (failure diagnosis, failure prediction, error propagation and error detection), Data analysis.
Prospective research students: If you are interested in studying for a PhD in one of the aforementioned research topics, email your CV, academic transcripts and proposal to thuan.chuah@abdn.ac.uk for an informal discussion.
Service to the community:
2023: Reviewer for Expert Systems with Applications, IEEE Transactions on Big Data.
2022: Reviewer for the Latin American Journal of Computing, ACM Computing Surveys.
2021: PC member for the 2nd International Conference on Information and Software Technologies (ICI2ST).
2020: Reviewer for the 2nd International Conference on Machine Learning and Intelligent Systems (MLIS).
2019: Reviewer for IEEE Access.
2018: Reviewer for ACM Computing Surveys, Software: Practice and Experience.
Qualifications
- PhD Computer Science2020 - The University of Warwick
- MSc Distributed Systems Engineering2004 - Lancaster University
- BSc (Hons) Computer Science2003 - The University of Leicester
Prizes and Awards
- J. Tinsley Oden Faculty Fellowship, The Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, USA. September 2011. The Fellowship was to collaborate with the late Prof. Emeritus James C. Browne on research in HPC health monitoring and fault management.
- The Alan Turing Institute Doctoral Studentship, UK. September 2016 to March 2020. Link
- Research
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Research Overview
Research interests:
My main research interest is in large-scale systems dependability. My initial research interest is focused on reliability [1-5], one of the attributes of dependability. Currently, my focus is on the security aspect of dependability, where I am investigating security in large networks [6]. I also have a general interest in machine learning, anomaly detection, causal inference and data poisoning.
Expertise:
My expertise is in system failure diagnostics and system logs analysis. I am the developer of FDiag, a system log-based failure diagnostics toolkit [5]. FDiag have been used by HPC systems administrators at the Texas Advanced Computing Center to uncover previously unknown causes of compute node soft lockups. I have also developed: (a) ANCOR, a novel anomaly-correlation approach that linked system resource usage anomalies with system failures [4], and (b) CORRMEXT, a new workflow that identified patterns of error propagation on large supercomputer systems [2]. FDiag and CORRMEXT are available on GitHub.
System log-based diagnostics tools
Selected publications:
- E. Chuah, A. Jhumka, S. Alt, R.T. Evans, N. Suri, Failure Diagnosis for Cluster Systems Using Partial Correlations, in Proceedings of IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2021.
- E. Chuah, A. Jhumka, S. Alt, D.B.-Thomert, J.C. Browne, M. Parashar, Towards Comprehensive Dependability-Driven Resource Use and Message Log-Analysis for Cluster Systems Diagnosis, Journal of Parallel and Distributed Computing, 2019.
- E. Chuah, A. Jhumka, J.C. Browne, N. Gurumdimma, S. Narasimhamurthy, B. Barth, Using Message Logs and Resource Use Data for Cluster Failure Diagnosis, in Proceedings of IEEE International Conference on High-Performance Computing, Data and Analytics (HiPC), 2016.
- E. Chuah, A. Jhumka, S. Narasimhamurthy, J. Hammond, J.C. Browne, B. Barth, Linking Resource Usage Anomalies with System Failures from Cluster Log Data, in Proceedings of IEEE International Symposium on Reliable Distributed Systems (SRDS), 2013.
- E. Chuah, S. Kuo, P. Hiew, W.C. Tjhi, G. Lee, J. Hammond, M.T. Michalewicz, T. Hung, J.C. Browne, Diagnosing the Root-Causes of Failures from Cluster Log-Files, in Proceedings of IEEE International Conference on High-Performance Computing (HiPC), 2010.
- E. Chuah, N. Suri, A. Jhumka, S. Alt, Challenges in Identifying Network Attacks Using NetFlow Data, in Proceedings of IEEE International Symposium on Network Computing and Applications (NCA), 2021.
Research Areas
Accepting PhDs
I am currently accepting PhDs in Computing Science.
Please get in touch if you would like to discuss your research ideas further.
Computing Science
Accepting PhDsResearch Specialisms
- Computer Science
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
- Teaching
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Teaching Responsibilities
I taught various courses ranging from Learning from Data to Software Engineering and Algorithm Analysis to undergraduate and postgraduate students.
- Publications
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Page 1 of 1 Results 1 to 20 of 20
An Empirical Study of Reflection Attacks Using NetFlow Data
Cybersecurity, vol. 7, 13Contributions to Journals: ArticlesAn Empirical Study of Major Page Faults for Failure Diagnosis in Cluster Systems
Journal of Supercomputing, vol. 79, pp. 18445-18479Contributions to Journals: ArticlesA Survey of Log-Correlation Tools for Failure Diagnosis and Prediction in Cluster Systems
IEEE Access, vol. 10, pp. 133487-133503Contributions to Journals: ArticlesChallenges in Identifying Network Attacks Using Netflow Data
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsFailure Diagnosis for Cluster Systems using Partial Correlations
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsSentiment Analysis based Error Detection for Large-Scale Systems
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsUsing Resource Use Data and System Logs for HPC System Error Propagation and Recovery Diagnosis
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsTowards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis
Journal of Parallel and Distributed Computing (JPDC), vol. 132, pp. 95-112Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.jpdc.2019.05.013
- [ONLINE] http://dx.doi.org/10.1016/j.jpdc.2019.05.013
Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/hipc.2017.00044
- [ONLINE] http://dx.doi.org/10.1109/hipc.2017.00044
Using Message Logs and Resource Use Data for Cluster Failure Diagnosis
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/hipc.2016.035
- [ONLINE] http://dx.doi.org/10.1109/hipc.2016.035
CRUDE: Combining Resource Usage Data and Error Logs for Accurate Error Detection in Large-Scale Distributed Systems
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/srds.2016.017
- [ONLINE] http://dx.doi.org/10.1109/srds.2016.017
Insights into the Diagnosis of System Failures from Cluster Message Logs
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/edcc.2015.19
- [ONLINE] http://dx.doi.org/10.1109/edcc.2015.19
Towards Increasing the Error Handling Time Window in Large-Scale Distributed Systems Using Console and Resource Usage Logs
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/trustcom.2015.613
- [ONLINE] http://dx.doi.org/10.1109/trustcom.2015.613
Towards Detecting Patterns in Failure Logs of Large-Scale Distributed Systems
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/ipdpsw.2015.109
- [ONLINE] http://dx.doi.org/10.1109/ipdpsw.2015.109
On Handling Redundancy for Failure Log Analysis of Cluster Systems
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsOnline failure prediction for HPC resources using decentralized clustering
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/hipc.2014.7116903
- [ONLINE] http://dx.doi.org/10.1109/hipc.2014.7116903
Linking Resource Usage Anomalies with System Failures from Cluster Log Data
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/srds.2013.20
- [ONLINE] http://dx.doi.org/10.1109/srds.2013.20
Establishing Hypothesis for Recurrent System Failures from Cluster Log Files
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/dasc.2011.27
- [ONLINE] http://dx.doi.org/10.1109/dasc.2011.27
Diagnosing the root-causes of failures from cluster log files
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/hipc.2010.5713159
- [ONLINE] http://dx.doi.org/10.1109/hipc.2010.5713159
An optimal smooth QoS adaptation strategy for QoS differentiated scalable media streaming
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/icme.2008.4607463
- [ONLINE] http://dx.doi.org/10.1109/icme.2008.4607463