Brief Bio
Abdelouahab Khelifati is a PhD candidate at eXascale Infolab in Switzerland. He has worked on various topics including data compression, data augmentation, anomaly detection, and benchmarking databases. His work resulted in peer-reviewed publications and successful cross-functional collaborations. Before starting his PhD, Abdelouahab obtained two Master’s degrees in Computer Science at the Higher National School of Computer Science (ESI) in Algiers (Algeria) and University Paul Sabatier in Toulouse (France), respectively. He also spent some time working as a visiting scholar at the University of Queensland in Australia.
- Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux. “SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications .” Proceedings of the VLDB Endowment (PVLDB). Demo Track 17, no. 1 (2024): 4361–64. Bibtex PDF Code
SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications
Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux. “SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications .” Proceedings of the VLDB Endowment (PVLDB). Demo Track 17, no. 1 (2024): 4361–64.
@article{althaus2024vldb,
title = {SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications },
author = {Althaus, Luca and Khayati, Mourad and Khelifati, Abdelouahab and Dignös, Anton and Difallah, Djellel and Cudré-Mauroux, Philippe},
booktitle = {Proceedings of the VLDB Endowment (PVLDB). Demo track},
year = {2024},
volume = {17},
issue = {1},
pages = {4361--4364},
url = {https://www.vldb.org/pvldb/vol17/p4361-khayati.pdf},
code = {https://github.com/eXascaleInfolab/seer}
}
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- Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux. “TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications.” In Proceedings of the VLDB Endowment, 16:3363–76, 2023. Bibtex PDF
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications
Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux. “TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications.” In Proceedings of the VLDB Endowment, 16:3363–76, 2023.
@inproceedings{khelifati2023vldb,
author = {Khelifati, Abdelouahab and Khayati, Mourad and Dignös, Anton and Difallah, Djellel and Cudré-Mauroux, Philippe},
title = {TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications},
booktitle = {Proceedings of the VLDB Endowment},
volume = {16},
number = {11},
pages = {3363--3376},
year = {2023},
doi = {10.14778/3611479.3611532},
url = {https://www.vldb.org/pvldb/vol16/p3363-khelifati.pdf}
}
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- Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, Adrian Hänni, Qian Liu, and Manfred Hauswirth. “VADETIS: An Explainable Evaluator for Anomaly Detection Techniques.” In Proceedings of the IEEE International Conference on Data Engineering (ICDE). Demo Track. Greece, 2021. Bibtex PDF Code
VADETIS: An Explainable Evaluator for Anomaly Detection Techniques
Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, Adrian Hänni, Qian Liu, and Manfred Hauswirth. “VADETIS: An Explainable Evaluator for Anomaly Detection Techniques.” In Proceedings of the IEEE International Conference on Data Engineering (ICDE). Demo Track. Greece, 2021.
@inproceedings{khelifati2021icde,
title = {VADETIS: An Explainable Evaluator for Anomaly Detection Techniques},
author = {Khelifati, Abdelouahab and Khayati, Mourad and Cudr{\'{e}}{-}Mauroux, Philippe and Hänni, Adrian and Liu, Qian and Hauswirth, Manfred},
booktitle = {Proceedings of the IEEE International Conference on Data Engineering (ICDE). Demo Track},
year = {2021},
address = {Greece},
url = {https://exascale.info/assets/pdf/vadetis-icde2021.pdf},
code = {https://github.com/eXascaleInfolab/vadetis.git}
}
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- Abdelouahab Khelifati, M. Khayati, and Philippe Cudré-Mauroux. “CORAD: Correlation-Aware Compression of Massive Time Series Using Sparse Dictionary Coding.” In BigData, 2019. Bibtex PDF Code
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding
Abdelouahab Khelifati, M. Khayati, and Philippe Cudré-Mauroux. “CORAD: Correlation-Aware Compression of Massive Time Series Using Sparse Dictionary Coding.” In BigData, 2019.
@inproceedings{khelifati2019bigdata,
author = {Khelifati, Abdelouahab and Khayati, M. and Cudr{\'{e}}{-}Mauroux, Philippe},
title = {CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding},
booktitle = {BigData},
year = {2019},
url = {https://exascale.info/assets/pdf/khelifati2019bigdata.pdf},
code = {https://github.com/eXascaleInfolab/CORAD}
}
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