Publications

2021

  1. A. Jindal, M. Gerndt, M. Chadha, V. Podolskiy, and P. Chen, “Function delivery network: Extending serverless computing for heterogeneous platforms,” Software: Practice and Experience, vol. 51, no. 9, pp. 1936–1963, 2021, doi: https://doi.org/10.1002/spe.2966. [Online]. Available at: https://onlinelibrary.wiley.com/doi/abs/10.1002/spe.2966
  2. M. Chadha, A. Jindal, and M. Gerndt, “Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions,” in 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), Los Alamitos, CA, USA, 2021, pp. 478–483, doi: 10.1109/CLOUD53861.2021.00062 [Online]. Available at: https://doi.ieeecomputersociety.org/10.1109/CLOUD53861.2021.00062
  3. A. Jindal and M. Gerndt, “From DevOps to NoOps: Is It Worth It?,” in Cloud Computing and Services Science, Cham, 2021, pp. 178–202.
  4. A. Jindal, J. Frielinghaus, M. Chadha, and M. Gerndt, “Courier: Delivering Serverless Functions Within Heterogeneous FaaS Deployments,” in 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC’21), New York, NY, USA, 2021, doi: 10.1145/3468737.3494097 [Online]. Available at: https://doi.org/10.1145/3468737.3494097
  5. A. Jindal, P. Staab, J. Cardoso, M. Gerndt, and V. Podolskiy, “Online Memory Leak Detection in the Cloud-Based Infrastructures,” in Service-Oriented Computing – ICSOC 2020 Workshops, Cham, 2021, pp. 188–200, doi: 10.1007/978-3-030-76352-7_21.
  6. A. Jindal, M. Chadha, M. Gerndt, J. Frielinghaus, V. Podolskiy, and P. Chen, “Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing,” in 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS), 2021, pp. 1128–1129, doi: 10.1109/ICDCS51616.2021.00120.

2020

  1. M. Chadha, A. Jindal, and M. Gerndt, “Towards Federated Learning Using FaaS Fabric,” in Proceedings of the 2020 Sixth International Workshop on Serverless Computing, New York, NY, USA, 2020, pp. 49–54, doi: 10.1145/3429880.3430100 [Online]. Available at: https://doi.org/10.1145/3429880.3430100
  2. C.-F. Fan., A. Jindal., and M. Gerndt., “Microservices vs Serverless: A Performance Comparison on a Cloud-native Web Application,” in Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER, 2020, pp. 204–215, doi: 10.5220/0009792702040215.
  3. L. Espe., A. Jindal., V. Podolskiy., and M. Gerndt., “Performance Evaluation of Container Runtimes,” in Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER, 2020, pp. 273–281, doi: 10.5220/0009340402730281.
  4. A. Jindal, B. Strahm, V. Podolskiy, and M. Gerndt, “Windsurfing with APPA: Automating Computational Fluid Dynamics Simulations of Wind Flow using Cloud Computing,” in 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2020, pp. 400–407, doi: 10.1109/PDP50117.2020.00068.
  5. A. Jindal, M. Gerndt, M. Bauch, and H. Haddouti, “Scalable Infrastructure and Workflow for Anomaly Detection in an Automotive Industry,” in 2020 International Conference on Innovative Trends in Information Technology (ICITIIT), 2020, pp. 1–6, doi: 10.1109/ICITIIT49094.2020.9071555.

2019

  1. A. Jindal, V. Podolskiy, and M. Gerndt, “Performance Modeling for Cloud Microservice Applications,” in Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, New York, NY, USA, 2019, pp. 25–32, doi: 10.1145/3297663.3310309 [Online]. Available at: https://doi.org/10.1145/3297663.3310309
  2. V. Podolskiy, A. Jindal, and M. Gerndt, “Multilayered autoscaling performance evaluation: Can virtual machines and containers co-scale?,” International journal of applied mathematics and computer science, vol. 29, no. 2, 2019, doi: 10.2478/amcs-2019-0017.

2018

  1. V. Podolskiy, A. Jindal, and M. Gerndt, “IaaS Reactive Autoscaling Performance Challenges,” in 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 2018, pp. 954–957, doi: 10.1109/CLOUD.2018.00144.
  2. V. Podolskiy, A. Jindal, M. Gerndt, and Y. Oleynik, “Forecasting Models for Self-Adaptive Cloud Applications: A Comparative Study,” in 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), 2018, pp. 40–49, doi: 10.1109/SASO.2018.00015.
  3. A. Jindal, V. Podolskiy, and M. Gerndt, “Autoscaling Performance Measurement Tool,” in Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, New York, NY, USA, 2018, pp. 91–92, doi: 10.1145/3185768.3186293 [Online]. Available at: https://doi.org/10.1145/3185768.3186293

2017

  1. A. Jindal, V. Podolskiy, and M. Gerndt, “Multilayered Cloud Applications Autoscaling Performance Estimation,” in 2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), 2017, pp. 24–31, doi: 10.1109/SC2.2017.12.