Brief Bio

Abdelouahab Khelifati specializes in time series databases, benchmarking, and performance optimization, leading the development of evaluation frameworks for large-scale systems. His work spans time series compression, anomaly repair, and optimizing database architectures for high-throughput workloads. He has also contributed to data augmentation using generative AI to enhance time series data quality and diversity. He has led peer-reviewed publications and cross-functional collaborations, including in VLDB and ICDE, and driven system efficiency improvements through hands-on development and large-scale evaluations. His PhD focused on practical challenges in time series database performance, ensuring robust and scalable solutions.

Tools

• SEER : Toolkit to Evaluate Time Series Database Systems [PDF (pvldb’24) | GUI ]
• TSM-Bench : Benchmark of Time Series Database Systems [PDF (pvldb’23) | code ]
• VADETIS : Explainable Evaluator for Anomaly Detection [PDF (icde’21) | GUI]

Bibliography (DBLP)

1. 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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2. 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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3. 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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4. 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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