Mohak Chadha | Publications

2022

IEEE Access

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

Steinbach, Markus, Jindal, Anshul, Chadha, Mohak, Gerndt, Michael, and Benedict, Shajulin

IEEE Access 2022

Bib HTML

@article{DBLP:journals/access/SteinbachJCGB22,
  author = {Steinbach, Markus and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael and Benedict, Shajulin},
  title = {TppFaaS: Modeling Serverless Functions Invocations via Temporal Point
                 Processes},
  journal = {{IEEE} Access},
  volume = {10},
  pages = {9059--9084},
  year = {2022},
  url = {https://doi.org/10.1109/ACCESS.2022.3144078},
  doi = {10.1109/ACCESS.2022.3144078},
  timestamp = {Tue, 08 Feb 2022 10:41:26 +0100},
  biburl = {https://dblp.org/rec/journals/access/SteinbachJCGB22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  html = {https://doi.org/10.1109/ACCESS.2022.3144078},
  bibtex_show = {true},
  selected = {false},
  abbr = {IEEE Access}
}

2021

Soft. Prac. Exp.

Function delivery network: Extending serverless computing for heterogeneous platforms

Jindal, Anshul, Gerndt, Michael, Chadha, Mohak, Podolskiy, Vladimir, and Chen, Pengfei

Softw. Pract. Exp. 2021

Bib HTML

@article{DBLP:journals/spe/JindalGCPC21,
  author = {Jindal, Anshul and Gerndt, Michael and Chadha, Mohak and Podolskiy, Vladimir and Chen, Pengfei},
  title = {Function delivery network: Extending serverless computing for heterogeneous
                 platforms},
  journal = {Softw. Pract. Exp.},
  volume = {51},
  number = {9},
  pages = {1936--1963},
  year = {2021},
  url = {https://doi.org/10.1002/spe.2966},
  doi = {10.1002/spe.2966},
  timestamp = {Thu, 12 Aug 2021 17:51:17 +0200},
  biburl = {https://dblp.org/rec/journals/spe/JindalGCPC21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  html = {https://doi.org/10.1002/spe.2966},
  abbr = {Soft. Prac. Exp.},
  publisher = {Wiley Online Library},
  bibtex_show = {true},
  selected = {false}
}

2022

SANER
Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes

Christoph, Reile, Chadha, Mohak, Hauner, Valentin, Jindal, Anshul, Hofmann, Benjamin, and Gerndt, Michael

In 2022 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER) 2022

Bib
@inproceedings{bunk8s, author = {Christoph, Reile and Chadha, Mohak and Hauner, Valentin and Jindal, Anshul and Hofmann, Benjamin and Gerndt, Michael}, booktitle = {2022 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)}, title = {Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes}, year = {2022}, volume = {}, number = {}, abbr = {SANER}, bibtex_show = {false} }

ESOCC

MAAF: Self-Adaptive Memory Optimization for Serverless Functions

Zubko, Tetiana, Jindal, Anshul, Chadha, Mohak, and Gerndt, Michael

In Service-Oriented and Cloud Computing 2022

Bib HTML

@inproceedings{maaf,
  author = {Zubko, Tetiana and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael},
  booktitle = {Service-Oriented and Cloud Computing},
  title = {MAAF: Self-Adaptive Memory Optimization for Serverless Functions},
  publisher = {Springer International Publishing},
  address = {Cham},
  pages = {137--154},
  year = {2022},
  isbn = {137--154},
  abbr = {ESOCC},
  bibtex_show = {false},
  doi = {https://doi.org/10.1007/978-3-031-04718-3_9},
  html = {https://www.researchgate.net/publication/359949441_MAFF_Self-adaptive_Memory_Optimization_for_Serverless_Functions}
}

ICFEC

FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters

Smith, Christopher, Jindal, Anshul, Chadha, Mohak, Gerndt, Michael, and Benedict, Shajulin

In 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC) 2022

Bib

@inproceedings{fado,
  author = {Smith, Christopher and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael and Benedict, Shajulin},
  booktitle = {2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC)},
  title = {FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters},
  year = {2022},
  volume = {},
  number = {},
  abbr = {ICFEC},
  bibtex_show = {false}
}

CLOSER
Scalable Infrastructure for Workload Characterization of Cluster Traces

Loo, Thomas, Jindal, Anshul, Benedict, Shajulin, Chadha, Mohak, and Gerndt, Michael

In 2022 12th International Conference on Cloud Computing and Services Science (CLOSER) 2022

Bib
@inproceedings{scalableinfro, author = {van Loo, Thomas and Jindal, Anshul and Benedict, Shajulin and Chadha, Mohak and Gerndt, Michael}, booktitle = {2022 12th International Conference on Cloud Computing and Services Science (CLOSER)}, title = {Scalable Infrastructure for Workload Characterization of Cluster Traces}, year = {2022}, volume = {}, number = {}, abbr = {CLOSER}, bibtex_show = {false} }

2021

BigData
FedLess: Secure and Scalable Federated Learning Using Serverless Computing

Grafberger, Andreas, Chadha, Mohak, Jindal, Anshul, Gu, Jianfeng, and Gerndt, Michael

In 2021 IEEE 9th International Conference on Big Data (IEEE BigData) 2021

Bib HTML Slides Video
@inproceedings{fedless, author = {Grafberger, Andreas and Chadha, Mohak and Jindal, Anshul and Gu, Jianfeng and Gerndt, Michael}, booktitle = {2021 IEEE 9th International Conference on Big Data (IEEE BigData)}, title = {FedLess: Secure and Scalable Federated Learning Using Serverless Computing}, year = {2021}, volume = {}, number = {}, abbr = {BigData}, bibtex_show = {true}, html = {https://arxiv.org/pdf/2111.03396.pdf}, selected = {true}, slides = {https://drive.google.com/file/d/1lxozQ-sGKnh74VaL81_sWvbOIsFJvVNL/view?usp=sharing}, presentation = {https://youtu.be/qsAn5_P03k8} }

IEEE CLOUD

Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions

Chadha, Mohak, Jindal, Anshul, and Gerndt, Michael

In 2021 IEEE 14th International Conference on Cloud Computing (IEEE CLOUD) 2021

Bib HTML Slides

@inproceedings{chadhaarchitecture,
  author = {Chadha, Mohak and Jindal, Anshul and Gerndt, Michael},
  booktitle = {2021 IEEE 14th International Conference on Cloud Computing (IEEE CLOUD)},
  title = {Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions},
  year = {2021},
  volume = {},
  number = {},
  abbr = {IEEE CLOUD},
  bibtex_show = {true},
  doi = {10.1109/CLOUD53861.2021.00062},
  html = {https://arxiv.org/pdf/2107.10008.pdf},
  selected = {true},
  slides = {https://drive.google.com/file/d/19C82gShhtBER0Vb30iQW3v7_tVEthI9g/view?usp=sharing}
}

IEEE/ACM UCC
Courier: Delivering Serverless Functions Within Heterogeneous FaaS Deployments

Jindal, Anshul, Frielinghaus, Julian, Chadha, Mohak, and Gerndt, Michael

In 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC) 2021

Bib HTML
@inproceedings{jindalcourier, author = {Jindal, Anshul and Frielinghaus, Julian and Chadha, Mohak and Gerndt, Michael}, booktitle = {2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC)}, title = {Courier: Delivering Serverless Functions Within Heterogeneous FaaS Deployments}, year = {2021}, volume = {}, number = {}, abbr = {IEEE/ACM UCC}, url = {https://doi.org/10.1145/3468737.3494097}, doi = {10.1145/3468737.3494097}, bibtex_show = {true}, html = {https://doi.org/10.1145/3468737.3494097}, selected = {true} }

IC2E

DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

Baller, Patrick Stephan, Jindal, Anshul, Chadha, Mohak, and Gerndt, Michael

In 2021 IEEE 9th International Conference on Cloud Engineering (IC2E) 2021

Bib HTML

@inproceedings{deepedgebench,
  author = {Baller, Patrick Stephan and Jindal, Anshul and Chadha, Mohak and Gerndt, Michael},
  booktitle = {2021 IEEE 9th International Conference on Cloud Engineering (IC2E)},
  title = {DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices},
  year = {2021},
  volume = {},
  number = {},
  abbr = {IC2E},
  bibtex_show = {true},
  doi = {10.1109/IC2E52221.2021.00016},
  html = {https://arxiv.org/pdf/2108.09457.pdf},
  selected = {true}
}

WoSC@Middleware

Towards Demystifying Intra-Function Parallelism in Serverless Computing

Kiener, Michael, Chadha, Mohak, and Gerndt, Michael

In Proceedings of the 2021 Seventh International Workshop on Serverless Computing 2021

Bib HTML Slides Video

@inproceedings{kienerwosc,
  author = {Kiener, Michael and Chadha, Mohak and Gerndt, Michael},
  booktitle = {Proceedings of the 2021 Seventh International Workshop on Serverless Computing},
  title = {Towards Demystifying Intra-Function Parallelism in Serverless Computing},
  year = {2021},
  volume = {},
  number = {},
  abbr = {WoSC@Middleware},
  selected = {true},
  doi = {10.1145/3493651.3493672},
  bibtex_show = {true},
  html = {https://dl.acm.org/doi/10.1145/3493651.3493672},
  presentation = {https://www.youtube.com/watch?v=CUOyobcfOfo&ab_channel=MKiener},
  slides = {https://drive.google.com/file/d/1Qet50ALeZbj955NAOHEYQqLZZ5hKd8OE/view?usp=sharing}
}

CloudAM@UCC

Estimating the Capacities of Function-as-a-Service Functions

Jindal, Anshul, Chadha, Mohak, Benedict, Shajulin, and Gerndt, Michael

In Proceedings of the 2021 10th International Workshop on Cloud and Edge Computing, and Applications Management 2021

2020

WoSC@Middleware
Towards Federated Learning Using FaaS Fabric

Chadha, Mohak, Jindal, Anshul, and Gerndt, Michael

In Proceedings of the 2020 Sixth International Workshop on Serverless Computing 2020

Abs Bib HTML

Federated learning (FL) enables resource-constrained edge devices to learn a shared Machine Learning (ML) or Deep Neural Network (DNN) model, while keeping the training data local and providing privacy, security, and economic benefits. However, building a shared model for heterogeneous devices such as resource-constrained edge and cloud makes the efficient management of FL-clients challenging. Furthermore, with the rapid growth of FL-clients, the scaling of FL training process is also difficult.In this paper, we propose a possible solution to these challenges: federated learning over a combination of connected Function-as-a-Service platforms, i.e., FaaS fabric offering a seamless way of extending FL to heterogeneous devices. Towards this, we present FedKeeper, a tool for efficiently managing FL over FaaS fabric. We demonstrate the functionality of FedKeeper by using three FaaS platforms through an image classification task with a varying number of devices/clients, different stochastic optimizers, and local computations (local epochs).
@inproceedings{chadhafl, author = {Chadha, Mohak and Jindal, Anshul and Gerndt, Michael}, title = {Towards Federated Learning Using FaaS Fabric}, year = {2020}, isbn = {9781450382045}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3429880.3430100}, doi = {10.1145/3429880.3430100}, booktitle = {Proceedings of the 2020 Sixth International Workshop on Serverless Computing}, pages = {49–54}, numpages = {6}, keywords = {Federated learning, Neural networks, FaaS, Serverless, FaaS platforms, Function-as-a-service}, location = {Delft, Netherlands}, series = {WoSC'20}, bibtex_show = {true}, html = {https://www.researchgate.net/profile/Anshul-Jindal-2/publication/346740625_Towards_Federated_Learning_using_FaaS_Fabric/links/5fd00998a6fdcc697bef60f5/Towards-Federated-Learning-using-FaaS-Fabric.pdf}, abbr = {WoSC@Middleware} }

HiPC

Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling

Chadha, Mohak, John, Jophin, and Gerndt, Michael

In 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC) 2020

Bib HTML

@inproceedings{chadhaextend,
  author = {Chadha, Mohak and John, Jophin and Gerndt, Michael},
  booktitle = {2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC)},
  title = {Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling},
  year = {2020},
  volume = {},
  number = {},
  pages = {223-232},
  doi = {10.1109/HiPC50609.2020.00036},
  abbr = {HiPC},
  bibtex_show = {true},
  html = {https://arxiv.org/pdf/2009.08289.pdf}
}

2019

IPDPS

Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications

Chadha, Mohak, and Gerndt, Michael

In 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2019

Bib HTML

@inproceedings{chadhamodel,
  author = {Chadha, Mohak and Gerndt, Michael},
  booktitle = {2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)},
  title = {Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications},
  year = {2019},
  volume = {},
  number = {},
  pages = {805-814},
  doi = {10.1109/IPDPS.2019.00089},
  bibtex_show = {true},
  html = {https://arxiv.org/pdf/2105.09642.pdf},
  abbr = {IPDPS}
}

2017

HPPAC@IPDPS
A Statistical Approach to Power Estimation for x86 Processors

Chadha, Mohak, Ilsche, Thomas, Bielert, Mario, and Nagel, Wolfgang E.

In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 2017

Bib HTML
@inproceedings{chadhastat, author = {Chadha, Mohak and Ilsche, Thomas and Bielert, Mario and Nagel, Wolfgang E.}, booktitle = {2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)}, title = {A Statistical Approach to Power Estimation for x86 Processors}, year = {2017}, volume = {}, number = {}, pages = {1012-1019}, doi = {10.1109/IPDPSW.2017.98}, abbr = {HPPAC@IPDPS}, html = {https://tu-dresden.de/zih/forschung/ressourcen/dateien/projekte/haec/hppac_2017_authorversion.pdf?lang=en}, bibtex_show = {true} }

2016

IPCCC
Unified power and energy measurement API for HPC co-processors

Chadha, Mohak, Srivastava, Abhishek, and Sarkar, Santonu

In 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC) 2016

Bib HTML
@inproceedings{chadha2016unified, title = {Unified power and energy measurement API for HPC co-processors}, author = {Chadha, Mohak and Srivastava, Abhishek and Sarkar, Santonu}, booktitle = {2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC)}, pages = {1--8}, year = {2016}, organization = {IEEE}, abbr = {IPCCC}, html = {https://ieeexplore.ieee.org/abstract/document/7820633}, bibtex_show = {true} }

2021

ICDCS
Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing

Jindal, Anshul, Chadha, Mohak, Gerndt, Michael, Frielinghaus, Julian, Podolskiy, Vladimir, and Chen, Pengfei

In 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS) 2021

Bib HTML
@inproceedings{poster, author = {Jindal, Anshul and Chadha, Mohak and Gerndt, Michael and Frielinghaus, Julian and Podolskiy, Vladimir and Chen, Pengfei}, booktitle = {2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)}, title = {Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing}, year = {2021}, volume = {}, number = {}, pages = {1128-1129}, doi = {10.1109/ICDCS51616.2021.00120}, abbr = {ICDCS}, bibtex_show = {true}, html = {https://ieeexplore.ieee.org/document/9546403} }

Publications

Journals

2022

2021

Conferences/Workshops

2022

2021

2020

2019

2017

2016

Posters

2021