Publications – PACS Lab @ YorkU

2024

N. Akhtarian, H. Khazaei, and M. Litoiu, “Employing Software Diversity in Cloud Microservices to Engineer Reliable and Performant Systems,” in IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS ’24), 2024.

[Bibtex]

@inproceedings{akhtarian2024acsos,
title={Employing Software Diversity in Cloud Microservices to Engineer Reliable and Performant Systems},
author={Akhtarian, Nazanin and Khazaei, Hamzeh and Litoiu, Marin},
booktitle={IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS '24)},
year={2024},
publisher={IEEE},
url_pdf={https://arxiv.org/pdf/2407.07287},
}

C. Fan, H. Khazaei, and P. Musilek, “BPET: A Unified Blockchain-Based Framework for Peer-to-Peer Energy Trading,” Future Internet 2024, vol. 16, iss. 5, 2024.

[Bibtex]

@article{fan2024mdpi,
author={Fan, Caixiang and Khazaei, Hamzeh and Musilek, Petr},
journal={Future Internet 2024},
title={{BPET: A Unified Blockchain-Based Framework for Peer-to-Peer Energy Trading}},
year={2024},
volume={16},
number={5},
pages={},
doi={10.3390/fi16050162},
url_paper={https://www.mdpi.com/1999-5903/16/5/162},
url_pdf={https://www.mdpi.com/1999-5903/16/5/162/pdf?version=1715239156},
}

H. Torabi, H. Khazaei, and M. Litoiu, “A Learning-Based Caching Mechanism for Edge Content Delivery,” in International Conference on Performance Engineering (ICPE ’24), 2024.

[Bibtex]

@inproceedings{torabi2024icpe,
title={A Learning-Based Caching Mechanism for Edge Content Delivery},
author={Torabi, Hoda and Khazaei, Hamzeh and Litoiu, Marin},
booktitle={International Conference on Performance Engineering (ICPE '24)},
year={2024},
publisher={ACM},
doi={10.48550/arXiv.2402.02795},
url_paper={https://arxiv.org/abs/2402.02795},
url_pdf={https://arxiv.org/pdf/2402.02795.pdf}
}

2023

P. Dhaliwal and H. Khazaei, “Reviving Software Diversity in Microservices to Optimize the Performance of Software Systems,” in IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS ’23), 2023.

[Bibtex]

@inproceedings{prabjot2023acsos,
title={Reviving Software Diversity in Microservices to Optimize the Performance of Software Systems},
author={Dhaliwal, Prabjot and Khazaei, Hamzeh},
booktitle={IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS '23)},
year={2023},
publisher={IEEE},
url_paper={https://www.computer.org/csdl/proceedings-article/acsos-c/2023/374600a031/1SN6zkS3AJ2},
url_pdf={https://www.computer.org/csdl/proceedings-article/acsos-c/2023/374600a031/1SN6zkS3AJ2},
url_demo={https://www.youtube.com/watch?v=oeMCxlDtU64}
}

C. Lin, N. Mahmoudi, C. Fan, and H. Khazaei, “Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications,” IEEE Transactions on Parallel and Distributed Systems, vol. 34, iss. 1, pp. 180-194, 2023.

[Bibtex]

@article{lin2023tpdsfaas,
author={Lin, Changyuan and Mahmoudi, Nima and Fan, Caixiang and Khazaei, Hamzeh},
journal={IEEE Transactions on Parallel and Distributed Systems},
title={Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications},
year={2023},
volume={34},
number={1},
pages={180-194},
doi={10.1109/TPDS.2022.3214783},
url_paper={https://ieeexplore.ieee.org/abstract/document/9919386/},
url_pdf={https://github.com/pacslab/publications/raw/master/pdf/lin2023faas.pdf}
}

2022

J. Dantas, M. Litoiu, and H. Khazaei, “GreenLAC: Resource-Aware Dynamic Load Balancer for Serverless Edge Computing Platforms with AWS Greengrass,” in Proceedings of the 32st Annual International Conference on Computer Science and Software Engineering (CASCON ’22), 2022.

[Bibtex]

@inproceedings{jaime2022cascon,
title={GreenLAC: Resource-Aware Dynamic Load Balancer for Serverless Edge Computing Platforms with AWS Greengrass},
author={Dantas, Jaime and Litoiu, Marin and Khazaei, Hamzeh},
booktitle={Proceedings of the 32st Annual International Conference on Computer Science and Software Engineering (CASCON '22)},
year={2022},
publisher={ACM},
doi={10.5555/3566055.3566075},
url_paper={https://dl.acm.org/doi/10.5555/3566055.3566075},
url_pdf={https://github.com/pacslab/publications/raw/master/pdf/jaime2022cascon.pdf},
}

C. Fan, C. Lin, H. Khazaei, and P. Musilek, “Performance Analysis of Hyperledger Besu in Private Blockchain,” in 2022 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), 2022, pp. 64-73.

[Bibtex]

@inproceedings{fan2022besu,
author={Fan, Caixiang and Lin, Changyuan and Khazaei, Hamzeh and Musilek, Petr},
booktitle={2022 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS)},
title={Performance Analysis of Hyperledger Besu in Private Blockchain},
year={2022},
pages={64-73},
doi={10.1109/DAPPS55202.2022.00016},
url_paper={https://ieeexplore.ieee.org/abstract/document/9899854},
url_pdf={https://github.com/pacslab/publications/raw/master/pdf/fan2022besu.pdf},
}

J. Dantas, M. Litoiu, and H. Khazaei, “Application Deployment Strategies for Reducing the Cold Start Delay of AWS Lambda,” in Proceedings of the 2022 IEEE 15th International Conference on Cloud Computing (CLOUD)), 2022.

[Bibtex]

@inproceedings{jaime2022ieee,
title={Application Deployment Strategies for Reducing the Cold Start Delay of AWS Lambda},
author={Dantas, Jaime and Litoiu, Marin and Khazaei, Hamzeh},
booktitle={Proceedings of the 2022 IEEE 15th International Conference on Cloud Computing (CLOUD))},
year={2022},
publisher={IEEE},
doi={10.1109/CLOUD55607.2022.00016},
url_paper={https://ieeexplore.ieee.org/abstract/document/9860368},
url_pdf={https://pacs.eecs.yorku.ca/pubs/pdf/jaime2022ieee.pdf},
}

N. Mahmoudi and H. Khazaei, MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms, 2022.

[Bibtex]

@misc{mahmoudi2022mlproxy,
title={{MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms}},
author={Nima Mahmoudi and Hamzeh Khazaei},
year={2022},
eprint={2202.11243},
archivePrefix={arXiv},
doi={10.48550/arXiv.2202.11243},
url_paper={https://arxiv.org/abs/2202.11243},
url_pdf={https://pacs.eecs.yorku.ca/pubs/pdf/mahmoudi2022mlproxy.pdf},
primaryClass={cs.DC}
}

N. Mahmoudi and H. Khazaei, “Performance Modeling of Metric-Based Serverless Computing Platforms,” IEEE Transactions on Cloud Computing, pp. 1-13, 2022.

[Bibtex]

@article{mahmoudi2022concperf,
author={Mahmoudi, Nima and Khazaei, Hamzeh},
journal={IEEE Transactions on Cloud Computing},
title={{Performance Modeling of Metric-Based Serverless Computing Platforms}},
year={2022},
volume={},
number={},
pages={1-13},
doi={10.1109/TCC.2022.3169619},
url_paper={https://ieeexplore.ieee.org/document/9763051},
url_pdf={https://pacs.eecs.yorku.ca/pubs/pdf/mahmoudi2022concperf.pdf},
}

2021

J. Dantas, M. Litoiu, and H. Khazaei, “BIAS Autoscaler: Leveraging Burstable Instances for Cost-Effective Autoscaling on Cloud Systems,” in Proceedings of the 7th International Workshop on Serverless Computing, 2021, p. 1–8.

[Bibtex]

@inproceedings{jaime2021biasautoscaler,
author={Dantas, Jaime and Litoiu, Marin and Khazaei, Hamzeh},
title={{BIAS Autoscaler: Leveraging Burstable Instances for Cost-Effective Autoscaling on Cloud Systems}},
year={2021},
publisher = {Association for Computing Machinery},
booktitle={{Proceedings of the 7th International Workshop on Serverless Computing}},
pages={1--8},
numpages = {8},
keywords = {autoscaling, resource provisioning, burstable instances, cloud computing},
location = {Québec, Canada},
series = {WOSC '21},
doi={10.1145/3493651.3493667},
url_paper={https://dl.acm.org/doi/10.1145/3493651.3493667},
url_pdf={https://pacs.eecs.yorku.ca/pubs/pdf/jaime2021biasautoscaler.pdf},
url_slides={https://www.serverlesscomputing.org/wosc7/presentations/BIAS-Autoscaler_Paper.pdf},
}

O. Hajihassani, O. Ardakanian, and H. Khazaei, “ObscureNet: Learning Attribute-Invariant Latent Representation for Anonymizing Sensor Data,” in Proceedings of the International Conference on Internet-of-Things Design and Implementation, New York, NY, USA, 2021, p. 40–52.

[Bibtex]

@inproceedings{hajihassani2021obscure,
author = {Hajihassani, Omid and Ardakanian, Omid and Khazaei, Hamzeh},
title = {ObscureNet: Learning Attribute-Invariant Latent Representation for Anonymizing Sensor Data},
year = {2021},
isbn = {9781450383547},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
doi = {10.1145/3450268.3453534},
booktitle = {Proceedings of the International Conference on Internet-of-Things Design and Implementation},
pages = {40--52},
numpages = {13},
keywords = {Conditional generative models, sensor data anonymization},
location = {Charlottesvle, VA, USA},
series = {IoTDI '21},
url_paper = {https://doi.org/10.1145/3450268.3453534}
}

C. Fan, S. Ghaemi, H. Khazaei, Y. Chen, and P. Musilek, “Performance Analysis of the IOTA DAG-based Distributed Ledger,” ACM Transactions on Modeling and Performance Evaluation of Computing Systems, vol. 9, iss. 5, p. 1–21, 2021.

[Bibtex]

@article{fan2021performance,
title={{Performance Analysis of the IOTA DAG-based Distributed Ledger}},
author={Fan, Caixiang and Ghaemi, Sara and Khazaei, Hamzeh and Chen, Yuxiang and Musilek, Petr},
journal={ACM Transactions on Modeling and Performance Evaluation of Computing Systems},
volume={9},
number={5},
pages={1--21},
year={2021},
publisher={ACM New York, NY},
url_paper={https://dl.acm.org/doi/abs/10.1145/3485188},
url_pdf={https://github.com/pacslab/publications/blob/master/pdf/fan2021performanceIOTA.pdf}
}

C. Lin, H. Khazaei, A. Walenstein, and A. Malton, “Autonomic Security Management for IoT Smart Spaces,” ACM Transactions on Internet of Things, vol. 2, iss. 4, 2021.

[Bibtex]

@article{lin2021autosecmng,
author = {Lin, Changyuan and Khazaei, Hamzeh and Walenstein, Andrew and Malton, Andrew},
title = {Autonomic Security Management for IoT Smart Spaces},
year = {2021},
journal={ACM Transactions on Internet of Things},
issue_date = {November 2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {2},
number = {4},
issn = {2691-1914},
doi = {10.1145/3466696},
month = aug,
articleno = {27},
url_paper={https://dl.acm.org/doi/10.1145/3466696},
url_pdf={https://pacs.eecs.yorku.ca/pubs/pdf/lin2021autonomic.pdf}
}

M. Sabuhi, N. Mahmoudi, and H. Khazaei, “Optimizing the Performance of Containerized Cloud Software Systems using Adaptive PID-Controllers,” ACM Transactions on Autonomous and Adaptive Systems, p. 1–27, 2021.

[Bibtex]

@article{sabuhi2021adaptivecontroller,
author={Sabuhi, Mikael and Mahmoudi, Nima and Khazaei, Hamzeh},
journal={ACM Transactions on Autonomous and Adaptive Systems},
title={{Optimizing the Performance of Containerized Cloud Software Systems using Adaptive PID-Controllers}},
year={2021},
volume={},
number={},
pages={1--27},
doi={},
url_paper={},
url_pdf={https://pacs.eecs.yorku.ca/pubs/pdf/sabuhi2021adaptivecontroller.pdf},
url_slides={},
url_demo={}
}

A. Goli, N. Mahmoudi, H. Khazaei, and O. Ardakanian, “A Holistic Machine Learning-Based Autoscaling Approach for Microservice Applications,” in The 11th International Conference on Cloud Computing and Services Science, 2021.

[Bibtex]

@inproceedings{goli2021holistic,
title={{A Holistic Machine Learning-Based Autoscaling Approach for Microservice Applications}},
author={Goli, Alireza and Mahmoudi, Nima and Khazaei, Hamzeh and Ardakanian, Omid},
booktitle={{The 11th International Conference on Cloud Computing and Services Science}},
year={2021},
organization={INSTICC},
url_paper={https://www.researchgate.net/publication/349550949_A_Holistic_Machine_Learning-Based_Autoscaling_Approach_for_Microservice_Applications},
url_pdf={https://pacs.eecs.yorku.ca/pubs/pdf/MLWaterfallAutoscaling_CLOSER2021.pdf}
}

N. Mahmoudi and H. Khazaei, “SimFaaS: A Performance Simulator for Serverless Computing Platforms,” in Proceedings of the 11th International Conference on Cloud Computing and Services Science, 2021, pp. 23-33.

[Bibtex]

@inproceedings{mahmoudi2021simfaas,
author={Mahmoudi, Nima and Khazaei, Hamzeh},
title={{SimFaaS: A Performance Simulator for Serverless Computing Platforms}},
year={2021},
publisher={SciTePress},
organization={INSTICC},
booktitle={{Proceedings of the 11th International Conference on Cloud Computing and Services Science}},
pages={23-33},
numpages = {11},
keywords = {performance modelling, serverless computing, serverless, simulator, performance},
series = {CLOSER '21},
doi={10.5220/0010376500230033},
url_paper={https://www.scitepress.org/Link.aspx?doi=10.5220/0010376500230033},
url_preprint={https://arxiv.org/abs/2102.08904},
url_pdf={https://pacs.eecs.yorku.ca/pubs/pdf/SimFaaS_CLOSER2021_Website_Preprint.pdf},
url_slides={https://www.slideshare.net/NimaMahmoudi/simfaascloser2021},
url_demo={https://youtu.be/jtv0fv_qgK4}
}

O. Hajihassani, O. Ardakanian, and H. Khazaei, “ObscureNet: Learning Attribute-invariant Latent Representation for Anonymizing Sensor Data,” in In Proceedings of the 6th ACM/IEEE Conference on Internet of Things Design and Implementation, 2021.

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