Faculty profile
Daniel Aloise
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Latest papers
Anomaly detection in microservice environments using distributed tracing data analysis and NLP.
Journal of cloud computing (Heidelberg, Germany) · 2022
A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis.
Entropy (Basel, Switzerland) · 2021
Latest funding
- $342,860
Tuning, Debugging and Monitoring High Performance Heterogeneous Systems at Exascale
NSERC · 2023 · Co-investigator
- $82,000
Computational methods and frameworks for unsupervised machine learning
NSERC · 2023 · Principal investigator
- $1,028,580
Monitoring and Debugging of High Performance Distributed Heterogeneous Cloud Applications
NSERC · 2020 · Co-investigator
2 publications.
Anomaly detection in microservice environments using distributed tracing data analysis and NLP.
Kohyarnejadfard I, Aloise D, Azhari SV, Dagenais MR
A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis.
Kohyarnejadfard I, Aloise D, Dagenais MR, Shakeri M
Tuning, Debugging and Monitoring High Performance Heterogeneous Systems at Exascale
Principal investigators: Dagenais, Michel MR
Keywords: cloud computing; debugging; exascale computing; gpgpu; heterogeneous computer systems; high performance computing; integrated development environment; machine learning; profiling; tracing
Computational methods and frameworks for unsupervised machine learning
Principal investigators: Aloise, Daniel
Keywords: unsupervised learning; clustering; combinatorial optimization; data embeddings; novelty detection
Monitoring and Debugging of High Performance Distributed Heterogeneous Cloud Applications
Principal investigators: Dagenais, Michel MR
Combiner l'intelligence artificielle et la recherche opérationnelle pour optimiser les horaires d'équipages aériens et de chauffeurs d'autobus
Principal investigators: Soumis, François
Machine learning methods for station-level traffic prediction in bike-sharing systems **************
Principal investigators: Aloise, Daniel
Fast optimization algorithms for complex personnel scheduling problems
Principal investigators: DESAULNIERS, Guy
(Re)designing Clustering Algorithms for Big Data
Principal investigators: Aloise, Daniel
Automated monitoring and debugging of large scale manycore heterogeneous systems
Principal investigators: Dagenais, Michel
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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