ADA-PIPE

Adaptive resource provisioning of the Cloud, Fog, and Edge continuum.

ADA-PIPE, addressing run-time aspects, provides a data-aware algorithm for the adaptable provisioning of resources and services on the Computing Continuum with an infrastructure drift adaptation capability. The tool allows intelligent resource reconfiguration for improved computational performance and interoperability by monitoring and analysis of diverse resources.

We plan to explore novel methods for resource scheduling and adaptation for Big Data Pipeline execution.

Notes

Please consider copyright and citation :)

@inproceedings{mehran2025adapt,
  title={ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction},
  author={Mehran, Narges and Nikolov, Nikolay and Prodan, Radu and Roman, Dumitru and Kimovski, Dragi and Pallas, Frank and Dorfinger, Peter},
  booktitle={2025 IEEE 9th International Conference on Fog and Edge Computing (ICFEC)},
  pages={6--10},
  year={2025},
  organization={IEEE}
}

@inproceedings{mehran2023comparison,
  title={Comparison of microservice call rate predictions for replication in the cloud},
  author={Mehran, Narges and Haghighi, Arman and Aminharati, Pedram and Nikolov, Nikolay and Soylu, Ahmet and Roman, Dumitru and Prodan, Radu},
  booktitle={Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing},
  pages={1--7},
  year={2023}
}

@inproceedings{bauer2023machine,
  title={Machine Learning Based Resource Utilization Prediction in the Computing Continuum},
  author={Bauer, Christian and Mehran, Narges and Prodan, Radu and Kimovski, Dragi},
  booktitle={2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)},
  pages={219--224},
  year={2023},
  organization={IEEE}
}

@article{samani2023incremental,
  title={Incremental multilayer resource partitioning for application placement in dynamic fog},
  author={Samani, Zahra Najafabadi and Mehran, Narges and Kimovski, Dragi and Benedict, Shajulin and Saurabh, Nishant and Prodan, Radu},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  volume={34},
  number={6},
  pages={1877--1896},
  year={2023},
  publisher={IEEE}
}

@inproceedings{mehran2022matching,
  title={Matching-based scheduling of asynchronous data processing workflows on the computing continuum},
  author={Mehran, Narges and Samani, Zahra Najafabadi and Kimovski, Dragi and Prodan, Radu},
  booktitle={2022 IEEE International Conference on Cluster Computing (CLUSTER)},
  pages={58--70},
  year={2022},
  organization={IEEE}
}