Skip to main content

Adaptation of Workflow Application Scheduling Algorithm to Serverless Infrastructure

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 11997)


Function-as-a-Service is a novel type of cloud service used for creating distributed applications and utilizing computing resources. Application developer supplies source code of cloud functions, which are small applications or application components, while the service provider is responsible for provisioning the infrastructure, scaling and exposing a REST style API. This environment seems to be adequate for running scientific workflows, which in recent years, have become an established paradigm for implementing and preserving complex scientific processes. In this paper, we present work done on adaptation of a scheduling algorithm to FaaS infrastructure. The result of this work is a static heuristic capable of planning workflow execution based on defined function pricing, deadline and budget. The SDBCS algorithm is designed to determine the quality of assignment of particular task to specific function configuration. Each task is analyzed for execution time and cost characteristics, while keeping track of parameters of complete workflow execution. The algorithm is validated through means of experiment with a set of synthetic workflows and a real life infrastructure case study performed on AWS Lambda. The results confirm the utility of the algorithm and lead us to propose areas of further study, which include more detailed analysis of infrastructure features affecting scheduling.


  • Serverless
  • Cloud functions
  • Workflow scheduling
  • Infrastructure testing

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-48340-1_27
  • Chapter length: 12 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
USD   89.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-48340-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   119.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.


  1. 1.

    HyperFlow repository:

  2. 2.

  3. 3.


  1. Arabnejad, H., Barbosa, J.G., Prodan, R.: Low-time complexity budget-deadline constrained workflow scheduling on heterogeneous resources. Future Gener. Comput. Syst. 55, 29–40 (2016)

    CrossRef  Google Scholar 

  2. Baldini, I., et al.: Serverless computing: current trends and open problems. In: Chaudhary, S., Somani, G., Buyya, R. (eds.) Research Advances in Cloud Computing, pp. 1–20. Springer, Singapore (2017).

    CrossRef  Google Scholar 

  3. Balis, B.: HyperFlow: a model of computation, programming approach and enactment engine for complex distributed workflows. Future Gener. Comput. Syst. 55, 147–162 (2016)

    CrossRef  Google Scholar 

  4. Bharathi, S., Chervenak, A., Deelman, E., Mehta, G., Su, M.H., Vahi, K.: Characterization of scientific workflows. In: 2008 Third Workshop on Workflows in Support of Large-Scale Science, pp. 1–10. IEEE (2008)

    Google Scholar 

  5. Deelman, E., Gannon, D., Shields, M., Taylor, I.: Workflows and e-science: an overview of workflow system features and capabilities. Future Gener. Comput. Syst. 25(5), 528–540 (2009)

    CrossRef  Google Scholar 

  6. Figiela, K., Gajek, A., Zima, A., Obrok, B., Malawski, M.: Performance evaluation of heterogeneous cloud functions. Concurr. Comput. Pract. Exp. (2017, accepted)

    Google Scholar 

  7. Jonas, E., Pu, Q., Venkataraman, S., Stoica, I., Recht, B.: Occupy the cloud: distributed computing for the 99%. In: Proceedings of the 2017 Symposium on Cloud Computing, pp. 445–451. ACM (2017)

    Google Scholar 

  8. Juve, G., Chervenak, A., Deelman, E., Bharathi, S., Mehta, G., Vahi, K.: Characterizing and profiling scientific workflows. Future Gener. Comput. Syst. 29(3), 682–692 (2013)

    CrossRef  Google Scholar 

  9. Kijak, J., Martyna, P., Pawlik, M., Balis, B., Malawski, M.: Challenges for scheduling scientific workflows on cloud functions. In: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), pp. 460–467. IEEE (2018)

    Google Scholar 

  10. Lee, H., Satyam, K., Fox, G.C.: Evaluation of production serverless computing environments. In: Proceedings of the 3rd International Workshop on Serverless Computing. ACM (in print)

    Google Scholar 

  11. Malawski, M.: Towards serverless execution of scientific workflows-hyperflow case study. In: WORKS SC, pp. 25–33 (2016)

    Google Scholar 

  12. Malawski, M., Gajek, A., Zima, A., Balis, B., Figiela, K.: Serverless execution of scientific workflows: experiments with HyperFlow, AWS Lambda and Google Cloud Functions. Future Gener. Comput. Syst. (2017).

  13. Pawlik, M., Figiela, K., Malawski, M.: Performance evaluation of parallel cloud functions. Poster Presented at ICPP 2018: International Conference on Parallel Processing, Eugene, Oregon, USA (2018)

    Google Scholar 

Download references


This work was supported by the National Science Centre, Poland, grant 2016/21/B/ST6/01497.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Maciej Pawlik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Pawlik, M., Banach, P., Malawski, M. (2020). Adaptation of Workflow Application Scheduling Algorithm to Serverless Infrastructure. In: , et al. Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019. Lecture Notes in Computer Science(), vol 11997. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-48339-5

  • Online ISBN: 978-3-030-48340-1

  • eBook Packages: Computer ScienceComputer Science (R0)